Instructions to use msintaha/bert-base-uncased-copa-kb-17 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-17 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForMultipleChoice tokenizer = AutoTokenizer.from_pretrained("msintaha/bert-base-uncased-copa-kb-17") model = AutoModelForMultipleChoice.from_pretrained("msintaha/bert-base-uncased-copa-kb-17", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from msintaha/bert-base-uncased-copa-kb-17: direct link, hf CLI and curl.
- Browser
- Download file 3.06 kB
-
https://huggingface.co/msintaha/bert-base-uncased-copa-kb-17/resolve/refs%2Fpr%2F1/training_args.bin
- Command line
-
hf download hf://msintaha/bert-base-uncased-copa-kb-17@refs/pr/1/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/msintaha/bert-base-uncased-copa-kb-17/resolve/refs%2Fpr%2F1/training_args.bin
3.06 kB
- Xet hash:
- 7928f4ff1c9d0dbb9448d6dc87c45f00f92500f5764dc8ff2f1b629d2a5e0904
- Size of remote file:
- 3.06 kB
- SHA256:
- 1f1ed7bdd60fe1ecdc16bd23aad82aa308acdf9cda5682c67101b7763e3c62d7
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