Instructions to use kevin510/SmolVLM2-256M-Video-Instruct-asl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use kevin510/SmolVLM2-256M-Video-Instruct-asl with PEFT:
Task type is invalid.
- Transformers
How to use kevin510/SmolVLM2-256M-Video-Instruct-asl with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("kevin510/SmolVLM2-256M-Video-Instruct-asl", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from kevin510/SmolVLM2-256M-Video-Instruct-asl: direct link, hf CLI and curl.
- Browser
- Download file 5.91 kB
-
https://huggingface.co/kevin510/SmolVLM2-256M-Video-Instruct-asl/resolve/main/training_args.bin
- Command line
-
hf download hf://kevin510/SmolVLM2-256M-Video-Instruct-asl/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/kevin510/SmolVLM2-256M-Video-Instruct-asl/resolve/main/training_args.bin
5.91 kB
- Xet hash:
- 350bafced2f387d0834d1679015f252982a8d6852f9aea859d1f2b1077f01773
- Size of remote file:
- 5.91 kB
- SHA256:
- 9a2dc04760ae508f37433bc2fb7d465310ff6225dc4b2e46375640a9b28c0884
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