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 training_args.bin from msintaha/bert-base-uncased-copa-kb-27: direct link, hf CLI and curl.
- Browser
- Download file 3.06 kB
-
https://huggingface.co/msintaha/bert-base-uncased-copa-kb-27/resolve/main/training_args.bin
- Command line
-
hf download hf://msintaha/bert-base-uncased-copa-kb-27/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/msintaha/bert-base-uncased-copa-kb-27/resolve/main/training_args.bin
3.06 kB
- Xet hash:
- 6e2db4559933553c919fc565982618c4e3d5590692179687364d70259b75d230
- Size of remote file:
- 3.06 kB
- SHA256:
- bfc587ebcb6e8fac66543ec35b96b4915b5026b239558d80979e78fdbae6704d
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