Instructions to use doc2query/yahoo_answers-t5-base-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use doc2query/yahoo_answers-t5-base-v1 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("doc2query/yahoo_answers-t5-base-v1") model = AutoModelForSeq2SeqLM.from_pretrained("doc2query/yahoo_answers-t5-base-v1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from doc2query/yahoo_answers-t5-base-v1: direct link, hf CLI and curl.
- Browser
- Download file 2.93 kB
-
https://huggingface.co/doc2query/yahoo_answers-t5-base-v1/resolve/refs%2Fpr%2F1/training_args.bin
- Command line
-
hf download hf://doc2query/yahoo_answers-t5-base-v1@refs/pr/1/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/doc2query/yahoo_answers-t5-base-v1/resolve/refs%2Fpr%2F1/training_args.bin
2.93 kB
- Xet hash:
- 8804897915c451860aa0eb3f0c6e8d86caacacc2ace0ed8ce37a296ad9fa7534
- Size of remote file:
- 2.93 kB
- SHA256:
- 254d9ec82d5e997f46bc11e14d36aebdfbbd1275ae66dc6f7fca766237e381bb
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