Text Generation
Transformers
Safetensors
mistral
text-generation-inference
unsloth
Mistral_Star
Mistral_Quiet
Mistral
Mixtral
Question-Answer
Token-Classification
Sequence-Classification
SpydazWeb-AI
chemistry
biology
legal
code
climate
medical
LCARS_AI_StarTrek_Computer
chain-of-thought
tree-of-knowledge
forest-of-thoughts
visual-spacial-sketchpad
alpha-mind
knowledge-graph
entity-detection
encyclopedia
wikipedia
stack-exchange
Reddit
Cyber-series
MegaMind
Cybertron
SpydazWeb
Spydaz
LCARS
star-trek
mega-transformers
Mulit-Mega-Merge
Multi-Lingual
Afro-Centric
African-Model
Ancient-One
Inference Endpoints
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README.md
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- **License:** apache-2.0
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- **Finetuned from model :** LeroyDyer/SpydazWeb_AI_HumanAI_007
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To create a pipeline for encoding and decoding files (sound or images) to and from Base64, we need to account for the following:
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Generalized File Handling:
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- **License:** apache-2.0
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- **Finetuned from model :** LeroyDyer/SpydazWeb_AI_HumanAI_007
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## The textvision model Works ! the sound/Vision Text model Works !
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In the creation of models for multimodality is it suggested to use a different architecture ?
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Is it for thier pretraining ?
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So is it for just cutting the corner of the expensive training that the people are using a Vision Transformer ?
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Well In fact a simple transformer model can do ALL modalitys ! It is Neural network after all !
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the problem did not change , its only how to frame the question into a text based format : Here with the spydazweb models we use BASE64 Encoding !
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enabling for encoding and decoding of an image ! .. So a model CAN generate a Image using base64 as a representation ! ( yes Its large context! )
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Lets GO !
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To create a pipeline for encoding and decoding files (sound or images) to and from Base64, we need to account for the following:
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Generalized File Handling:
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