Instructions to use longcld/t5_small_squad_trans_old with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use longcld/t5_small_squad_trans_old with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("longcld/t5_small_squad_trans_old") model = AutoModelForSeq2SeqLM.from_pretrained("longcld/t5_small_squad_trans_old", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download optimizer.pt from longcld/t5_small_squad_trans_old: direct link, hf CLI and curl.
- Browser
- Download file 353 MB
-
https://huggingface.co/longcld/t5_small_squad_trans_old/resolve/main/optimizer.pt
- Command line
-
hf download hf://longcld/t5_small_squad_trans_old/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/longcld/t5_small_squad_trans_old/resolve/main/optimizer.pt
353 MB
- Xet hash:
- 57aa72111dba9e607f9783e90342c06d3500d3d780046a1c6a1583a562c0fa80
- Size of remote file:
- 353 MB
- SHA256:
- 45dd816488d955a75f9225148850bc042e833c2594d860d0d13cec905cab0af4
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