Instructions to use longcld/t5_small_checkpoint with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use longcld/t5_small_checkpoint with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("longcld/t5_small_checkpoint") model = AutoModelForSeq2SeqLM.from_pretrained("longcld/t5_small_checkpoint", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download optimizer.pt from longcld/t5_small_checkpoint: direct link, hf CLI and curl.
- Browser
- Download file 484 MB
-
https://huggingface.co/longcld/t5_small_checkpoint/resolve/main/optimizer.pt
- Command line
-
hf download hf://longcld/t5_small_checkpoint/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/longcld/t5_small_checkpoint/resolve/main/optimizer.pt
484 MB
- Xet hash:
- 265d21f3cd49e9d4a8b2522823cb1ce73b45d77b8dfa31a61cebf80453af8050
- Size of remote file:
- 484 MB
- SHA256:
- b9851bd9588363655c2ddccd09a50f7aec7a2f433a8a3437af232c2afc11d57e
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