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 pytorch_model.bin from longcld/t5_small_checkpoint: direct link, hf CLI and curl.
- Browser
- Download file 242 MB
-
https://huggingface.co/longcld/t5_small_checkpoint/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://longcld/t5_small_checkpoint/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/longcld/t5_small_checkpoint/resolve/main/pytorch_model.bin
242 MB
- Xet hash:
- 9e035f3ecdb76f2553e4a7274940bcdc67850880f501c7022d7eab6464cf2088
- Size of remote file:
- 242 MB
- SHA256:
- fa7d789f9d6776140b34f77a86ee6f0d7b89cff7fc8f0e9f3202a19eec4bfd1a
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