Instructions to use DeepBeepMeep/LTX_Video with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusion Single File
How to use DeepBeepMeep/LTX_Video with Diffusion Single File:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
Upload modeling_florence2.py
Browse files
Florence2/modeling_florence2.py
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@@ -2058,8 +2058,9 @@ class Florence2LanguageModel(Florence2LanguagePreTrainedModel):
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encoder_attentions=encoder_outputs.attentions,
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)
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class Florence2LanguageForConditionalGeneration(Florence2LanguagePreTrainedModel):
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base_model_prefix = "model"
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_tied_weights_keys = ["encoder.embed_tokens.weight", "decoder.embed_tokens.weight", "lm_head.weight"]
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_keys_to_ignore_on_load_missing = ["final_logits_bias"]
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encoder_attentions=encoder_outputs.attentions,
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)
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from transformers.generation.utils import GenerationMixin
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class Florence2LanguageForConditionalGeneration(Florence2LanguagePreTrainedModel, GenerationMixin):
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base_model_prefix = "model"
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_tied_weights_keys = ["encoder.embed_tokens.weight", "decoder.embed_tokens.weight", "lm_head.weight"]
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_keys_to_ignore_on_load_missing = ["final_logits_bias"]
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