Instructions to use Prates/bert_ENEM with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Prates/bert_ENEM with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMultipleChoice tokenizer = AutoTokenizer.from_pretrained("Prates/bert_ENEM") model = AutoModelForMultipleChoice.from_pretrained("Prates/bert_ENEM", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Prates/bert_ENEM: direct link, hf CLI and curl.
- Browser
- Download file 4.54 kB
-
https://huggingface.co/Prates/bert_ENEM/resolve/main/training_args.bin
- Command line
-
hf download hf://Prates/bert_ENEM/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Prates/bert_ENEM/resolve/main/training_args.bin
4.54 kB
- Xet hash:
- 91c4952528f6f5b6d6b56188a9ed97a88bba91223e0a2ae1c7e4c4e818e0fd7f
- Size of remote file:
- 4.54 kB
- SHA256:
- 1427cbcc5d8c53275e2bb829daee43194af138ac19278c85819aa2ae4bd4b99d
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