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/e7df8fb02c3255e1e4e88dca809ffa3336daee07/training_args.bin
- Command line
-
hf download hf://arbitropy/mt5-base-bcoqa@e7df8fb02c3255e1e4e88dca809ffa3336daee07/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/arbitropy/mt5-base-bcoqa/resolve/e7df8fb02c3255e1e4e88dca809ffa3336daee07/training_args.bin
5.05 kB
- Xet hash:
- 29eddbb710816372e574ea41e37964ac153781fe7d1a63a686843af07453ca73
- Size of remote file:
- 5.05 kB
- SHA256:
- 72cb93cd4a482f70cb6021f5a3e79217c751ae52d0c45e0d66ccee4434a79c3d
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