Instructions to use TheLongSentance/t5_large_baseline with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use TheLongSentance/t5_large_baseline with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("TheLongSentance/t5_large_baseline") model = AutoModelForSeq2SeqLM.from_pretrained("TheLongSentance/t5_large_baseline", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from TheLongSentance/t5_large_baseline: direct link, hf CLI and curl.
- Browser
- Download file 2.74 kB
-
https://huggingface.co/TheLongSentance/t5_large_baseline/resolve/main/training_args.bin
- Command line
-
hf download hf://TheLongSentance/t5_large_baseline/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/TheLongSentance/t5_large_baseline/resolve/main/training_args.bin
2.74 kB
- Xet hash:
- 1c3c1679e5e8f5abb4dd7e6906ea1c0990bd957cf81aacf322b375111f37d3d0
- Size of remote file:
- 2.74 kB
- SHA256:
- 6e7525415df0b895c4e260ac2ecea63cbe052c3236de6bbacf64cc9eadcae309
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