Instructions to use LSIbabnikz/eDifFIQA_L with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use LSIbabnikz/eDifFIQA_L with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("LSIbabnikz/eDifFIQA_L", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from LSIbabnikz/eDifFIQA_L: direct link, hf CLI and curl.
- Browser
- Download file 263 MB
-
https://huggingface.co/LSIbabnikz/eDifFIQA_L/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://LSIbabnikz/eDifFIQA_L/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/LSIbabnikz/eDifFIQA_L/resolve/main/pytorch_model.bin
263 MB
- Xet hash:
- 60c756560e14a6eb2fe3d48d77f76d91f2c9c55a7e74a63b0a2c20259ea5a644
- Size of remote file:
- 263 MB
- SHA256:
- c288595028e9007eaad58b104938dce1fd4b95eefd567b571e0281a73e356063
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