|
--- |
|
language: |
|
- 'no' |
|
- nb |
|
- nn |
|
inference: false |
|
tags: |
|
- T5 |
|
- NorT5 |
|
- Norwegian |
|
- encoder-decoder |
|
license: cc-by-4.0 |
|
--- |
|
|
|
# NorT5 x-small |
|
|
|
|
|
## Other sizes: |
|
- [NorT5 xs (15M)](https://huggingface.co/ltg/nort5-xs) |
|
- [NorT5 small (40M)](https://huggingface.co/ltg/nort5-small) |
|
- [NorT5 base (123M)](https://huggingface.co/ltg/nort5-base) |
|
- [NorT5 large (323M)](https://huggingface.co/ltg/nort5-large) |
|
|
|
|
|
## Example usage |
|
|
|
This model currently needs a custom wrapper from `modeling_nort5.py`. Then you can use it like this: |
|
|
|
```python |
|
import torch |
|
from transformers import AutoTokenizer |
|
from modeling_norbert import NorT5ForConditionalGeneration |
|
|
|
tokenizer = AutoTokenizer.from_pretrained("path/to/folder") |
|
t5 = NorT5ForConditionalGeneration.from_pretrained("path/to/folder") |
|
|
|
|
|
# MASKED LANGUAGE MODELING |
|
|
|
sentence = "Brukseksempel: Elektrisk oppvarming. Definisjonen på ordet oppvarming er[MASK_0]." |
|
encoding = tokenizer(sentence) |
|
|
|
input_tensor = torch.tensor([encoding.input_ids]) |
|
output_tensor = model.generate(input_tensor, decoder_start_token_id=7, eos_token_id=8) |
|
tokenizer.decode(output_tensor.squeeze(), skip_special_tokens=True) |
|
|
|
# should output: å varme opp |
|
|
|
|
|
# PREFIX LANGUAGE MODELING |
|
# you need to finetune this model or use `nort5-{size}-lm` model, which is finetuned on prefix language modeling |
|
|
|
sentence = "Brukseksempel: Elektrisk oppvarming. Definisjonen på ordet oppvarming er (Wikipedia) " |
|
encoding = tokenizer(sentence) |
|
|
|
input_tensor = torch.tensor([encoding.input_ids]) |
|
output_tensor = model.generate(input_tensor, max_new_tokens=50, num_beams=4, do_sample=False) |
|
tokenizer.decode(output_tensor.squeeze()) |
|
|
|
# should output: [BOS]ˈoppvarming, det vil si at det skjer en endring i temperaturen i et medium, f.eks. en ovn eller en radiator, slik at den blir varmere eller kaldere, eller at den blir varmere eller kaldere, eller at den blir |
|
``` |
