Instructions to use mindoval/fles1-v14 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mindoval/fles1-v14 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("mindoval/fles1-v14", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from mindoval/fles1-v14: direct link, hf CLI and curl.
- Browser
- Download file 438 MB
-
https://huggingface.co/mindoval/fles1-v14/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://mindoval/fles1-v14/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/mindoval/fles1-v14/resolve/main/pytorch_model.bin
438 MB
- Xet hash:
- a6e1ce6f06249444770272e554c8346d2ba2b3ae633aefc766dd44a04941eb37
- Size of remote file:
- 438 MB
- SHA256:
- 893517d82e449fd7e05636dbedafe2b6b63964da8e7d8df219d5b0a194b793ec
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