Instructions to use binhpham/molmoact2-leslider with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use binhpham/molmoact2-leslider with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModelForImageTextToText model = AutoModelForImageTextToText.from_pretrained("binhpham/molmoact2-leslider", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from binhpham/molmoact2-leslider: direct link, hf CLI and curl.
- Browser
- Download file 12 MB
-
https://huggingface.co/binhpham/molmoact2-leslider/resolve/main/tokenizer.json
- Command line
-
hf download hf://binhpham/molmoact2-leslider/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/binhpham/molmoact2-leslider/resolve/main/tokenizer.json
12 MB
- Xet hash:
- 230e7ad6860fca6e579b3f4d9db3117f2fbdca26766ce3014ee5e90eb4fbaa71
- Size of remote file:
- 12 MB
- SHA256:
- d5395aefc9b1b7f0385d8c86a2f1775e5af81bdfbf9f2d97827ea37921d9f862
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