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:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("arbitropy/bcoqa-mt5") model = AutoModelForSeq2SeqLM.from_pretrained("arbitropy/bcoqa-mt5") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a5799feb450400397c52fa55b05a69b87c5b6fc243e0323cd283ee023929537d
- Size of remote file:
- 2.33 GB
- SHA256:
- bfc131419e5da711b0826751a59a4955f4d52b50fa208dcd000fff6bda96d8fd
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