Instructions to use tiagoblima/debug_t5-small_squad with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tiagoblima/debug_t5-small_squad with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("tiagoblima/debug_t5-small_squad") model = AutoModelForSeq2SeqLM.from_pretrained("tiagoblima/debug_t5-small_squad", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from tiagoblima/debug_t5-small_squad: direct link, hf CLI and curl.
- Browser
- Download file 4.79 kB
-
https://huggingface.co/tiagoblima/debug_t5-small_squad/resolve/main/training_args.bin
- Command line
-
hf download hf://tiagoblima/debug_t5-small_squad/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/tiagoblima/debug_t5-small_squad/resolve/main/training_args.bin
4.79 kB
- Xet hash:
- be698bd2be344bbe5858ae190500b35b353d9bb01cc937a3f9ec67900b29964f
- Size of remote file:
- 4.79 kB
- SHA256:
- bd37a09fec4d9d6b0d97f3d3c2c36fccc218d2a8d571f50c13627f6fde057c3c
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