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, AutoModelForMultimodalLM tokenizer = AutoTokenizer.from_pretrained("arbitropy/mt5-base-bcoqa") model = AutoModelForMultimodalLM.from_pretrained("arbitropy/mt5-base-bcoqa") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c53f72669ea7968a0a84d30201a7b5fb23fba9a77c4305812643e3c32978b645
- Size of remote file:
- 5.05 kB
- SHA256:
- 87723fa72dd0500c3ac83696346c3aa13e6f3d19b13e24891f78d7aff97351f8
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