Instructions to use msintaha/bert-base-uncased-copa-kb-27 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use msintaha/bert-base-uncased-copa-kb-27 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMultipleChoice tokenizer = AutoTokenizer.from_pretrained("msintaha/bert-base-uncased-copa-kb-27") model = AutoModelForMultipleChoice.from_pretrained("msintaha/bert-base-uncased-copa-kb-27", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from msintaha/bert-base-uncased-copa-kb-27: direct link, hf CLI and curl.
- Browser
- Download file 438 MB
-
https://huggingface.co/msintaha/bert-base-uncased-copa-kb-27/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://msintaha/bert-base-uncased-copa-kb-27/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/msintaha/bert-base-uncased-copa-kb-27/resolve/main/pytorch_model.bin
438 MB
- Xet hash:
- e7858e9774668c3c538f8086bd9ac218d4dae62d7af965d76aaecd770db740aa
- Size of remote file:
- 438 MB
- SHA256:
- 88ba02840875b2177abce7b1d991a0ff6325ee08577e9d3d3261330be2dde063
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