Instructions to use hqfang/molmoact2-origami with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hqfang/molmoact2-origami with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModelForImageTextToText model = AutoModelForImageTextToText.from_pretrained("hqfang/molmoact2-origami", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model-00002-of-00005.safetensors from hqfang/molmoact2-origami: direct link, hf CLI and curl.
- Browser
- Download file 4.84 GB
-
https://huggingface.co/hqfang/molmoact2-origami/resolve/501b39f779ac6e3d68fd45cce93a4f93b6e9a952/model-00002-of-00005.safetensors
- Command line
-
hf download hf://hqfang/molmoact2-origami@501b39f779ac6e3d68fd45cce93a4f93b6e9a952/model-00002-of-00005.safetensors
-
curl -L -o model-00002-of-00005.safetensors https://huggingface.co/hqfang/molmoact2-origami/resolve/501b39f779ac6e3d68fd45cce93a4f93b6e9a952/model-00002-of-00005.safetensors
4.84 GB
- Xet hash:
- 5bede3e04f4ba7f27fcdf52dc2be5c80987d7385688067bb5bf90e0d3d7e68d4
- Size of remote file:
- 4.84 GB
- SHA256:
- b0e158d1d11c28f3a36bd5911a6dd71cbbac9cc4acc727b9514175db5e551e40
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