Instructions to use ERO26/FP_Classifcation-V1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ERO26/FP_Classifcation-V1 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("ERO26/FP_Classifcation-V1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from ERO26/FP_Classifcation-V1: direct link, hf CLI and curl.
- Browser
- Download file 5.27 kB
-
https://huggingface.co/ERO26/FP_Classifcation-V1/resolve/main/training_args.bin
- Command line
-
hf download hf://ERO26/FP_Classifcation-V1/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/ERO26/FP_Classifcation-V1/resolve/main/training_args.bin
5.27 kB
- Xet hash:
- adbc407f46a87c9937e2fa377485a637152ab19f35aa9a64dba8c1fa788b1b13
- Size of remote file:
- 5.27 kB
- SHA256:
- b854077c9a8e262c563959a0bc489842368608123d05f8b384ae9903288cb362
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