Instructions to use Menlo/Poseless-3B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Menlo/Poseless-3B with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("Menlo/Poseless-3B") model = AutoModelForMultimodalLM.from_pretrained("Menlo/Poseless-3B", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Improve language tag
Verified signatureHi! As the model is multilingual, this is a PR to add other languages than English to the language tag to improve the referencing. Note that 29 languages are announced in the README, but only 13 are explicitly listed. I was therefore only able to add these 13 languages.489c19a
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Add base model, link to dataset (#2)
Verified signature- Add base model, link to dataset (c6a3ca65b92e714c78ce70a92320bbf6991a036b) Co-authored-by: Niels Rogge <nielsr@users.noreply.huggingface.co>3754a69
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Improve model card metadata: add pipeline tag, license, and paper link (#1)
Verified signature- Improve model card metadata: add pipeline tag, license, and paper link (89a7a32ebe141fd80b37fbfa8e20b5cc6f9b0bcc) Co-authored-by: Niels Rogge <nielsr@users.noreply.huggingface.co>29cc7ea
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Update README.md
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Update README.md
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Update README.md
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Update README.md
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Update README.md
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Upload processor
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Upload Qwen2_5_VLForConditionalGeneration
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initial commit
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