Instructions to use Jeevesh8/t5-small-cogs_14 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jeevesh8/t5-small-cogs_14 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Jeevesh8/t5-small-cogs_14") model = AutoModelForSeq2SeqLM.from_pretrained("Jeevesh8/t5-small-cogs_14", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download flax_model.msgpack from Jeevesh8/t5-small-cogs_14: direct link, hf CLI and curl.
- Browser
- Download file 242 MB
-
https://huggingface.co/Jeevesh8/t5-small-cogs_14/resolve/main/flax_model.msgpack
- Command line
-
hf download hf://Jeevesh8/t5-small-cogs_14/flax_model.msgpack
-
curl -L -o flax_model.msgpack https://huggingface.co/Jeevesh8/t5-small-cogs_14/resolve/main/flax_model.msgpack
242 MB
- Xet hash:
- 4eb426f030db659776e5b8325547b172001d17e667af3a030ce0f314b0b2770a
- Size of remote file:
- 242 MB
- SHA256:
- 53f21bf8db6ed0fd94be043ba4b7bd7441d592fe375eef01b4864f3efef4f0c4
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