Instructions to use arbitropy/umt5-bcoqa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use arbitropy/umt5-bcoqa with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("arbitropy/umt5-bcoqa") model = AutoModelForSeq2SeqLM.from_pretrained("arbitropy/umt5-bcoqa", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from arbitropy/umt5-bcoqa: direct link, hf CLI and curl.
- Browser
- Download file 4.86 kB
-
https://huggingface.co/arbitropy/umt5-bcoqa/resolve/main/training_args.bin
- Command line
-
hf download hf://arbitropy/umt5-bcoqa/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/arbitropy/umt5-bcoqa/resolve/main/training_args.bin
4.86 kB
- Xet hash:
- d568146fd6b95403901c5152a4d02cf751a5fbc462651c5c6373cfaf60994845
- Size of remote file:
- 4.86 kB
- SHA256:
- a0f9780d00e78a246c277283bc92851e60eb06a985a4dd6bbb15cf9d30e52599
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