Instructions to use aho-tai/PixtralEncoderDecoder-v0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use aho-tai/PixtralEncoderDecoder-v0 with Transformers:
# Load model directly from transformers import VisionPixtralEncoderDecoder model = VisionPixtralEncoderDecoder.from_pretrained("aho-tai/PixtralEncoderDecoder-v0", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Update config.json
Browse files- config.json +1 -1
config.json
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@@ -55,7 +55,7 @@
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"torch_dtype": "float32"
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},
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"is_encoder_decoder": true,
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"model_type": "
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"tie_word_embeddings": false,
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"torch_dtype": "float32",
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"transformers_version": "4.51.3"
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"torch_dtype": "float32"
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},
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"is_encoder_decoder": true,
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"model_type": "vision_pixtral_encoder_decoder",
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"tie_word_embeddings": false,
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"torch_dtype": "float32",
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"transformers_version": "4.51.3"
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