Instructions to use xiaothung/t5-base-bt1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use xiaothung/t5-base-bt1 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("xiaothung/t5-base-bt1") model = AutoModelForSeq2SeqLM.from_pretrained("xiaothung/t5-base-bt1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from xiaothung/t5-base-bt1: direct link, hf CLI and curl.
- Browser
- Download file 5.11 kB
-
https://huggingface.co/xiaothung/t5-base-bt1/resolve/main/training_args.bin
- Command line
-
hf download hf://xiaothung/t5-base-bt1/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/xiaothung/t5-base-bt1/resolve/main/training_args.bin
5.11 kB
- Xet hash:
- fae7dc80a63f2e7fddd09e4e0a26fe2381cdac411aa2eaa6300f0d1b8e164e12
- Size of remote file:
- 5.11 kB
- SHA256:
- 12d5b816e3bfddd6459dd0aa1b66675f3ca5924fc9635c1ab92156015596ae44
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