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:
# pip install -U transformers accelerate # 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
Download training_args.bin from arbitropy/mt5-base-bcoqa: direct link, hf CLI and curl.
- Browser
- Download file 5.05 kB
-
https://huggingface.co/arbitropy/mt5-base-bcoqa/resolve/main/training_args.bin
- Command line
-
hf download hf://arbitropy/mt5-base-bcoqa/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/arbitropy/mt5-base-bcoqa/resolve/main/training_args.bin
5.05 kB
- Xet hash:
- c53f72669ea7968a0a84d30201a7b5fb23fba9a77c4305812643e3c32978b645
- Size of remote file:
- 5.05 kB
- SHA256:
- 87723fa72dd0500c3ac83696346c3aa13e6f3d19b13e24891f78d7aff97351f8
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