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:
# 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
- Xet hash:
- d568146fd6b95403901c5152a4d02cf751a5fbc462651c5c6373cfaf60994845
- Size of remote file:
- 4.86 kB
- SHA256:
- a0f9780d00e78a246c277283bc92851e60eb06a985a4dd6bbb15cf9d30e52599
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