Upload README.md
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README.md
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@@ -1,3 +1,473 @@
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---
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license: apache-2.0
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3 |
---
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1 |
---
|
2 |
license: apache-2.0
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3 |
+
language:
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4 |
+
- multilingual
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5 |
+
- en
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6 |
+
- ru
|
7 |
+
- es
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8 |
+
- fr
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9 |
+
- de
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10 |
+
- it
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11 |
+
- pt
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12 |
+
- pl
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13 |
+
- nl
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14 |
+
- vi
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15 |
+
- tr
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16 |
+
- sv
|
17 |
+
- id
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18 |
+
- ro
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19 |
+
- cs
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20 |
+
- zh
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21 |
+
- hu
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22 |
+
- ja
|
23 |
+
- th
|
24 |
+
- fi
|
25 |
+
- fa
|
26 |
+
- uk
|
27 |
+
- da
|
28 |
+
- el
|
29 |
+
- 'no'
|
30 |
+
- bg
|
31 |
+
- sk
|
32 |
+
- ko
|
33 |
+
- ar
|
34 |
+
- lt
|
35 |
+
- ca
|
36 |
+
- sl
|
37 |
+
- he
|
38 |
+
- et
|
39 |
+
- lv
|
40 |
+
- hi
|
41 |
+
- sq
|
42 |
+
- ms
|
43 |
+
- az
|
44 |
+
- sr
|
45 |
+
- ta
|
46 |
+
- hr
|
47 |
+
- kk
|
48 |
+
- is
|
49 |
+
- ml
|
50 |
+
- mr
|
51 |
+
- te
|
52 |
+
- af
|
53 |
+
- gl
|
54 |
+
- fil
|
55 |
+
- be
|
56 |
+
- mk
|
57 |
+
- eu
|
58 |
+
- bn
|
59 |
+
- ka
|
60 |
+
- mn
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61 |
+
- bs
|
62 |
+
- uz
|
63 |
+
- ur
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64 |
+
- sw
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65 |
+
- yue
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66 |
+
- ne
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67 |
+
- kn
|
68 |
+
- kaa
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69 |
+
- gu
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70 |
+
- si
|
71 |
+
- cy
|
72 |
+
- eo
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73 |
+
- la
|
74 |
+
- hy
|
75 |
+
- ky
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76 |
+
- tg
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77 |
+
- ga
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78 |
+
- mt
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79 |
+
- my
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80 |
+
- km
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81 |
+
- tt
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82 |
+
- so
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83 |
+
- ku
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84 |
+
- ps
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85 |
+
- pa
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86 |
+
- rw
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87 |
+
- lo
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88 |
+
- ha
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89 |
+
- dv
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90 |
+
- fy
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91 |
+
- lb
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92 |
+
- ckb
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93 |
+
- mg
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94 |
+
- gd
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95 |
+
- am
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96 |
+
- ug
|
97 |
+
- ht
|
98 |
+
- grc
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99 |
+
- hmn
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100 |
+
- sd
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101 |
+
- jv
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102 |
+
- mi
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103 |
+
- tk
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104 |
+
- ceb
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105 |
+
- yi
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106 |
+
- ba
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107 |
+
- fo
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108 |
+
- or
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109 |
+
- xh
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110 |
+
- su
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111 |
+
- kl
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112 |
+
- ny
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113 |
+
- sm
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114 |
+
- sn
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115 |
+
- co
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116 |
+
- zu
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117 |
+
- ig
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118 |
+
- yo
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119 |
+
- pap
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120 |
+
- st
|
121 |
+
- haw
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122 |
+
- as
|
123 |
+
- oc
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124 |
+
- cv
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125 |
+
- lus
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126 |
+
- tet
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127 |
+
- gsw
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128 |
+
- sah
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129 |
+
- br
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130 |
+
- rm
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131 |
+
- sa
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132 |
+
- bo
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133 |
+
- om
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134 |
+
- se
|
135 |
+
- ce
|
136 |
+
- cnh
|
137 |
+
- ilo
|
138 |
+
- hil
|
139 |
+
- udm
|
140 |
+
- os
|
141 |
+
- lg
|
142 |
+
- ti
|
143 |
+
- vec
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144 |
+
- ts
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145 |
+
- tyv
|
146 |
+
- kbd
|
147 |
+
- ee
|
148 |
+
- iba
|
149 |
+
- av
|
150 |
+
- kha
|
151 |
+
- to
|
152 |
+
- tn
|
153 |
+
- nso
|
154 |
+
- fj
|
155 |
+
- zza
|
156 |
+
- ak
|
157 |
+
- ada
|
158 |
+
- otq
|
159 |
+
- dz
|
160 |
+
- bua
|
161 |
+
- cfm
|
162 |
+
- ln
|
163 |
+
- chm
|
164 |
+
- gn
|
165 |
+
- krc
|
166 |
+
- wa
|
167 |
+
- hif
|
168 |
+
- yua
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169 |
+
- srn
|
170 |
+
- war
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171 |
+
- rom
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172 |
+
- bik
|
173 |
+
- pam
|
174 |
+
- sg
|
175 |
+
- lu
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176 |
+
- ady
|
177 |
+
- kbp
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178 |
+
- syr
|
179 |
+
- ltg
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180 |
+
- myv
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181 |
+
- iso
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182 |
+
- kac
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183 |
+
- bho
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184 |
+
- ay
|
185 |
+
- kum
|
186 |
+
- qu
|
187 |
+
- za
|
188 |
+
- pag
|
189 |
+
- ngu
|
190 |
+
- ve
|
191 |
+
- pck
|
192 |
+
- zap
|
193 |
+
- tyz
|
194 |
+
- hui
|
195 |
+
- bbc
|
196 |
+
- tzo
|
197 |
+
- tiv
|
198 |
+
- ksd
|
199 |
+
- gom
|
200 |
+
- min
|
201 |
+
- ang
|
202 |
+
- nhe
|
203 |
+
- bgp
|
204 |
+
- nzi
|
205 |
+
- nnb
|
206 |
+
- nv
|
207 |
+
- zxx
|
208 |
+
- bci
|
209 |
+
- kv
|
210 |
+
- new
|
211 |
+
- mps
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212 |
+
- alt
|
213 |
+
- meu
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214 |
+
- bew
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215 |
+
- fon
|
216 |
+
- iu
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217 |
+
- abt
|
218 |
+
- mgh
|
219 |
+
- mnw
|
220 |
+
- tvl
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221 |
+
- dov
|
222 |
+
- tlh
|
223 |
+
- ho
|
224 |
+
- kw
|
225 |
+
- mrj
|
226 |
+
- meo
|
227 |
+
- crh
|
228 |
+
- mbt
|
229 |
+
- emp
|
230 |
+
- ace
|
231 |
+
- ium
|
232 |
+
- mam
|
233 |
+
- gym
|
234 |
+
- mai
|
235 |
+
- crs
|
236 |
+
- pon
|
237 |
+
- ubu
|
238 |
+
- fip
|
239 |
+
- quc
|
240 |
+
- gv
|
241 |
+
- kj
|
242 |
+
- btx
|
243 |
+
- ape
|
244 |
+
- chk
|
245 |
+
- rcf
|
246 |
+
- shn
|
247 |
+
- tzh
|
248 |
+
- mdf
|
249 |
+
- ppk
|
250 |
+
- ss
|
251 |
+
- gag
|
252 |
+
- cab
|
253 |
+
- kri
|
254 |
+
- seh
|
255 |
+
- ibb
|
256 |
+
- tbz
|
257 |
+
- bru
|
258 |
+
- enq
|
259 |
+
- ach
|
260 |
+
- cuk
|
261 |
+
- kmb
|
262 |
+
- wo
|
263 |
+
- kek
|
264 |
+
- qub
|
265 |
+
- tab
|
266 |
+
- bts
|
267 |
+
- kos
|
268 |
+
- rwo
|
269 |
+
- cak
|
270 |
+
- tuc
|
271 |
+
- bum
|
272 |
+
- cjk
|
273 |
+
- gil
|
274 |
+
- stq
|
275 |
+
- tsg
|
276 |
+
- quh
|
277 |
+
- mak
|
278 |
+
- arn
|
279 |
+
- ban
|
280 |
+
- jiv
|
281 |
+
- sja
|
282 |
+
- yap
|
283 |
+
- tcy
|
284 |
+
- toj
|
285 |
+
- twu
|
286 |
+
- xal
|
287 |
+
- amu
|
288 |
+
- rmc
|
289 |
+
- hus
|
290 |
+
- nia
|
291 |
+
- kjh
|
292 |
+
- bm
|
293 |
+
- guh
|
294 |
+
- mas
|
295 |
+
- acf
|
296 |
+
- dtp
|
297 |
+
- ksw
|
298 |
+
- bzj
|
299 |
+
- din
|
300 |
+
- zne
|
301 |
+
- mad
|
302 |
+
- msi
|
303 |
+
- mag
|
304 |
+
- mkn
|
305 |
+
- kg
|
306 |
+
- lhu
|
307 |
+
- ch
|
308 |
+
- qvi
|
309 |
+
- mh
|
310 |
+
- djk
|
311 |
+
- sus
|
312 |
+
- mfe
|
313 |
+
- srm
|
314 |
+
- dyu
|
315 |
+
- ctu
|
316 |
+
- gui
|
317 |
+
- pau
|
318 |
+
- inb
|
319 |
+
- bi
|
320 |
+
- mni
|
321 |
+
- guc
|
322 |
+
- jam
|
323 |
+
- wal
|
324 |
+
- jac
|
325 |
+
- bas
|
326 |
+
- gor
|
327 |
+
- skr
|
328 |
+
- nyu
|
329 |
+
- noa
|
330 |
+
- sda
|
331 |
+
- gub
|
332 |
+
- nog
|
333 |
+
- cni
|
334 |
+
- teo
|
335 |
+
- tdx
|
336 |
+
- sxn
|
337 |
+
- rki
|
338 |
+
- nr
|
339 |
+
- frp
|
340 |
+
- alz
|
341 |
+
- taj
|
342 |
+
- lrc
|
343 |
+
- cce
|
344 |
+
- rn
|
345 |
+
- jvn
|
346 |
+
- hvn
|
347 |
+
- nij
|
348 |
+
- dwr
|
349 |
+
- izz
|
350 |
+
- msm
|
351 |
+
- bus
|
352 |
+
- ktu
|
353 |
+
- chr
|
354 |
+
- maz
|
355 |
+
- tzj
|
356 |
+
- suz
|
357 |
+
- knj
|
358 |
+
- bim
|
359 |
+
- gvl
|
360 |
+
- bqc
|
361 |
+
- tca
|
362 |
+
- pis
|
363 |
+
- prk
|
364 |
+
- laj
|
365 |
+
- mel
|
366 |
+
- qxr
|
367 |
+
- niq
|
368 |
+
- ahk
|
369 |
+
- shp
|
370 |
+
- hne
|
371 |
+
- spp
|
372 |
+
- koi
|
373 |
+
- krj
|
374 |
+
- quf
|
375 |
+
- luz
|
376 |
+
- agr
|
377 |
+
- tsc
|
378 |
+
- mqy
|
379 |
+
- gof
|
380 |
+
- gbm
|
381 |
+
- miq
|
382 |
+
- dje
|
383 |
+
- awa
|
384 |
+
- bjj
|
385 |
+
- qvz
|
386 |
+
- sjp
|
387 |
+
- tll
|
388 |
+
- raj
|
389 |
+
- kjg
|
390 |
+
- bgz
|
391 |
+
- quy
|
392 |
+
- cbk
|
393 |
+
- akb
|
394 |
+
- oj
|
395 |
+
- ify
|
396 |
+
- mey
|
397 |
+
- ks
|
398 |
+
- cac
|
399 |
+
- brx
|
400 |
+
- qup
|
401 |
+
- syl
|
402 |
+
- jax
|
403 |
+
- ff
|
404 |
+
- ber
|
405 |
+
- tks
|
406 |
+
- trp
|
407 |
+
- mrw
|
408 |
+
- adh
|
409 |
+
- smt
|
410 |
+
- srr
|
411 |
+
- ffm
|
412 |
+
- qvc
|
413 |
+
- mtr
|
414 |
+
- ann
|
415 |
+
- kaa
|
416 |
+
- aa
|
417 |
+
- noe
|
418 |
+
- nut
|
419 |
+
- gyn
|
420 |
+
- kwi
|
421 |
+
- xmm
|
422 |
+
- msb
|
423 |
+
tags:
|
424 |
+
- ctranslate2
|
425 |
+
- quantization
|
426 |
+
- int8
|
427 |
+
- float16
|
428 |
+
- madlad400
|
429 |
---
|
430 |
+
|
431 |
+
# madlad400-7b-mt-bt model for CTranslate2
|
432 |
+
|
433 |
+
**The model is quantized version of the [jbochi/madlad400-7b-mt-bt](https://huggingface.co/jbochi/madlad400-7b-mt-bt) with int8_float16 quantization and can be used in [CTranslate2](https://github.com/OpenNMT/CTranslate2).**
|
434 |
+
|
435 |
+
**madlad400 is a multilingual machine translation model based on the T5 architecture introduced by Google DeepMind, Google Research in Sep 2023. It was trained on 250 billion tokens covering over 450 languages using publicly available data. The paper is titled "MADLAD-400: A Multilingual And Document-Level Large Audited Dataset" ([arXiv:2309.04662](https://arxiv.org/abs/2309.04662)).**
|
436 |
+
|
437 |
+
**madlad400-7b-mt-bt is finetuned version of the 7.2B parameter model on backtranslated data. Authors say in the [paper](https://arxiv.org/pdf/2309.04662.pdf) that:**
|
438 |
+
|
439 |
+
> While this setup is very likely sub-optimal, we see that back-translation
|
440 |
+
> greatly improves en2xx translation (by 3.0 chrf, in the case of Flores-200) in most cases.
|
441 |
+
|
442 |
+
|
443 |
+
## Conversion details
|
444 |
+
|
445 |
+
The original model was converted on 2023-12 with the following command:
|
446 |
+
|
447 |
+
```
|
448 |
+
ct2-transformers-converter --model jbochi/madlad400-7b-mt-bt --quantization int8_float16 --output_dir madlad400-7b-mt-bt-ct2-int8_float16 \
|
449 |
+
--copy_files added_tokens.json generation_config.json model.safetensors.index.json shared_vocabulary.json special_tokens_map.json spiece.model tokenizer.json tokenizer_config.json
|
450 |
+
```
|
451 |
+
|
452 |
+
|
453 |
+
## Example
|
454 |
+
|
455 |
+
This example code is obtained from [CTranslate2_transformers](https://opennmt.net/CTranslate2/guides/transformers.html#t5).
|
456 |
+
More detailed information about the `translate_batch` methon can be found at [CTranslate2_Translator.translate_batch](https://opennmt.net/CTranslate2/python/ctranslate2.Translator.html#ctranslate2.Translator.translate_batch).
|
457 |
+
|
458 |
+
```python
|
459 |
+
import ctranslate2
|
460 |
+
import transformers
|
461 |
+
|
462 |
+
translator = ctranslate2.Translator("avans06/madlad400-7b-mt-bt-ct2-int8_float16", compute_type="auto")
|
463 |
+
tokenizer = transformers.AutoTokenizer.from_pretrained("jbochi/madlad400-7b-mt-bt")
|
464 |
+
|
465 |
+
prefix = "<2en> "
|
466 |
+
input_text = "Who is Alan Turing?"
|
467 |
+
input_tokens = tokenizer.convert_ids_to_tokens(tokenizer.encode(prefix + input_text))
|
468 |
+
|
469 |
+
results = translator.translate_batch([input_tokens])
|
470 |
+
|
471 |
+
output_tokens = results[0].hypotheses[0]
|
472 |
+
output_text = tokenizer.decode(tokenizer.convert_tokens_to_ids(output_tokens))
|
473 |
+
```
|