Instructions to use lemon234071/ct5-small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lemon234071/ct5-small with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("lemon234071/ct5-small") model = AutoModelForSeq2SeqLM.from_pretrained("lemon234071/ct5-small", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download flax_model.msgpack from lemon234071/ct5-small: direct link, hf CLI and curl.
- Browser
- Download file 321 MB
-
https://huggingface.co/lemon234071/ct5-small/resolve/main/flax_model.msgpack
- Command line
-
hf download hf://lemon234071/ct5-small/flax_model.msgpack
-
curl -L -o flax_model.msgpack https://huggingface.co/lemon234071/ct5-small/resolve/main/flax_model.msgpack
321 MB
- Xet hash:
- 0015f0f94808262facaf38b69c47e3ea5a460d5b394b0e61072e31a8be1bb425
- Size of remote file:
- 321 MB
- SHA256:
- 7e0fcd4afa3504c46b56a73929e564c1d6bb80a7074c9906264bfd8d581e509b
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