Instructions to use arbitropy/bcoqa-mt5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use arbitropy/bcoqa-mt5 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("arbitropy/bcoqa-mt5") model = AutoModelForSeq2SeqLM.from_pretrained("arbitropy/bcoqa-mt5", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from arbitropy/bcoqa-mt5: direct link, hf CLI and curl.
- Browser
- Download file 4.79 kB
-
https://huggingface.co/arbitropy/bcoqa-mt5/resolve/main/training_args.bin
- Command line
-
hf download hf://arbitropy/bcoqa-mt5/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/arbitropy/bcoqa-mt5/resolve/main/training_args.bin
4.79 kB
- Xet hash:
- d9dd35e53d7400ea2c5c06911d799f7d43b0b28e07b4d2726139dfe77e785d3c
- Size of remote file:
- 4.79 kB
- SHA256:
- d162403b1eb7abc3ed60cf73f82b90c5cd8b9518cfd17ef4f17175d89e996dc0
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