Image-to-Text
Transformers
Safetensors
English
mistral
text-generation
vision
VISION-ENCODER-DECODER-MODEL
text-generation-inference
Instructions to use LeroyDyer/SpydazWebAI_VisionEncoderDecoderModel_Mini548m with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use LeroyDyer/SpydazWebAI_VisionEncoderDecoderModel_Mini548m with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "image-to-text" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # pip install "transformers<5.0.0" from transformers import pipeline pipe = pipeline("image-to-text", model="LeroyDyer/SpydazWebAI_VisionEncoderDecoderModel_Mini548m")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("LeroyDyer/SpydazWebAI_VisionEncoderDecoderModel_Mini548m") model = AutoModelForCausalLM.from_pretrained("LeroyDyer/SpydazWebAI_VisionEncoderDecoderModel_Mini548m", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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Download README.md from LeroyDyer/SpydazWebAI_VisionEncoderDecoderModel_Mini548m: direct link, hf CLI and curl.
- Browser
- Download file 725 Bytes
-
https://huggingface.co/LeroyDyer/SpydazWebAI_VisionEncoderDecoderModel_Mini548m/resolve/95260373db08b680d6943ffb4db0139dce8cff4a/README.md
- Command line
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hf download hf://LeroyDyer/SpydazWebAI_VisionEncoderDecoderModel_Mini548m@95260373db08b680d6943ffb4db0139dce8cff4a/README.md
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curl -L -o README.md https://huggingface.co/LeroyDyer/SpydazWebAI_VisionEncoderDecoderModel_Mini548m/resolve/95260373db08b680d6943ffb4db0139dce8cff4a/README.md
725 Bytes
| license: mit | |
| language: | |
| - en | |
| library_name: transformers | |
| tags: | |
| - vision | |
| pipeline_tag: image-to-text | |
| # ADD HEAD | |
| ``` | |
| print('Add Vision...') | |
| # ADD HEAD | |
| # Combine pre-trained encoder and pre-trained decoder to form a Seq2Seq model | |
| Vmodel = VisionEncoderDecoderModel.from_encoder_decoder_pretrained( | |
| "google/vit-base-patch16-224-in21k", "LeroyDyer/Mixtral_AI_Tiny" | |
| ) | |
| _Encoder_ImageProcessor = Vmodel.encoder | |
| _Decoder_ImageTokenizer = Vmodel.decoder | |
| _VisionEncoderDecoderModel = Vmodel | |
| # Add Pad tokems | |
| LM_MODEL.VisionEncoderDecoder = _VisionEncoderDecoderModel | |
| # Add Sub Components | |
| LM_MODEL.Encoder_ImageProcessor = _Encoder_ImageProcessor | |
| LM_MODEL.Decoder_ImageTokenizer = _Decoder_ImageTokenizer | |
| LM_MODEL | |
| ``` |