Instructions to use longcld/t5-small-e2e-qa-full with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use longcld/t5-small-e2e-qa-full with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("longcld/t5-small-e2e-qa-full") model = AutoModelForSeq2SeqLM.from_pretrained("longcld/t5-small-e2e-qa-full", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from longcld/t5-small-e2e-qa-full: direct link, hf CLI and curl.
- Browser
- Download file 2.61 kB
-
https://huggingface.co/longcld/t5-small-e2e-qa-full/resolve/main/training_args.bin
- Command line
-
hf download hf://longcld/t5-small-e2e-qa-full/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/longcld/t5-small-e2e-qa-full/resolve/main/training_args.bin
2.61 kB
- Xet hash:
- b89302d294ad40bf0f8eb01afe4736363dba89e6c314f7247b66c1cbb96d5ad5
- Size of remote file:
- 2.61 kB
- SHA256:
- cde6ae4d30903dd742743295e31cc8a8412a32ae7919684e13e6a12099005672
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