Instructions to use arbitropy/mt5-base-bcoqa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use arbitropy/mt5-base-bcoqa with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("arbitropy/mt5-base-bcoqa") model = AutoModelForSeq2SeqLM.from_pretrained("arbitropy/mt5-base-bcoqa", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6b049fc8f3932fc6fc3b572310cf314515126acc1cec402fc4f1f8cb839f427e
- Size of remote file:
- 4.12 MB
- SHA256:
- c0e6d9d9a2e4c5f294e10301ad2301712cfe98b2e9cc974fcdbca2f8a8ea1d1d
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