Instructions to use vidore/colqwen2.5-v0.2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ColPali
How to use vidore/colqwen2.5-v0.2 with ColPali:
# 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
Update README.md (#4)
Browse files- Update README.md (c4f3dcc6d6c62442dfc8882e2252ce60fe550de8)
Co-authored-by: David <Mezigore@users.noreply.huggingface.co>
README.md
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@@ -68,7 +68,7 @@ model = ColQwen2_5.from_pretrained(
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device_map="cuda:0", # or "mps" if on Apple Silicon
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attn_implementation="flash_attention_2" if is_flash_attn_2_available() else None,
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).eval()
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processor = ColQwen2_5_Processor.from_pretrained("vidore/colqwen2.5-v0.
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# Your inputs
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images = [
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device_map="cuda:0", # or "mps" if on Apple Silicon
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attn_implementation="flash_attention_2" if is_flash_attn_2_available() else None,
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).eval()
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processor = ColQwen2_5_Processor.from_pretrained("vidore/colqwen2.5-v0.2")
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# Your inputs
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images = [
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