Create README.md
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README.md
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---
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license: mit
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language:
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- en
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library_name: transformers
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tags:
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- 'vision '
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- speech
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- image-text-text
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- audio-text-text
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- Multi-Modal
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---
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# ADD VISION
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```python
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print('Add Vision...')
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# ADD HEAD
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# Combine pre-trained encoder and pre-trained decoder to form a Seq2Seq model
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Vmodel = VisionEncoderDecoderModel.from_encoder_decoder_pretrained(
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"google/vit-base-patch16-224-in21k", "LeroyDyer/Mixtral_AI_Tiny"
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)
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_Encoder_ImageProcessor = Vmodel.encoder
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_Decoder_ImageTokenizer = Vmodel.decoder
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_VisionEncoderDecoderModel = Vmodel
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# Add Pad tokems
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LM_MODEL.VisionEncoderDecoder = _VisionEncoderDecoderModel
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# Add Sub Components
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LM_MODEL.Encoder_ImageProcessor = _Encoder_ImageProcessor
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LM_MODEL.Decoder_ImageTokenizer = _Decoder_ImageTokenizer
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LM_MODEL
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```
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# ADD AUDIO
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```python
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print('Add Audio...')
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#Add Head
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# Combine pre-trained encoder and pre-trained decoder to form a Seq2Seq model
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_AudioFeatureExtractor = AutoFeatureExtractor.from_pretrained("openai/whisper-small")
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_AudioTokenizer = AutoTokenizer.from_pretrained("openai/whisper-small")
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_SpeechEncoderDecoder = SpeechEncoderDecoderModel.from_encoder_decoder_pretrained("openai/whisper-small","openai/whisper-small")
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# Add Pad tokems
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_SpeechEncoderDecoder.config.decoder_start_token_id = _AudioTokenizer.cls_token_id
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_SpeechEncoderDecoder.config.pad_token_id = _AudioTokenizer.pad_token_id
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LM_MODEL.SpeechEncoderDecoder = _SpeechEncoderDecoder
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# Add Sub Components
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LM_MODEL.Decoder_AudioTokenizer = _AudioTokenizer
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LM_MODEL.Encoder_AudioFeatureExtractor = _AudioFeatureExtractor
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LM_MODEL
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```
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# SAVE
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```python
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print('Final stages:...')
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print('Add tokenizer...')
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LM_MODEL.resize_token_embeddings(len(tokenizer))
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LM_MODEL.tokenizer = tokenizer
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print('Save model...')
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LM_MODEL.to(torch.float16)
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LM_MODEL.save_pretrained("Mixtral_AI_MiniModalTron")
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print('Save tokenizer...')
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tokenizer.save_pretrained("Mixtral_AI_MiniModalTron")
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```
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