Instructions to use Jeevesh8/t5-small-cogs_24 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jeevesh8/t5-small-cogs_24 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Jeevesh8/t5-small-cogs_24") model = AutoModelForSeq2SeqLM.from_pretrained("Jeevesh8/t5-small-cogs_24", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download flax_model.msgpack from Jeevesh8/t5-small-cogs_24: direct link, hf CLI and curl.
- Browser
- Download file 242 MB
-
https://huggingface.co/Jeevesh8/t5-small-cogs_24/resolve/main/flax_model.msgpack
- Command line
-
hf download hf://Jeevesh8/t5-small-cogs_24/flax_model.msgpack
-
curl -L -o flax_model.msgpack https://huggingface.co/Jeevesh8/t5-small-cogs_24/resolve/main/flax_model.msgpack
242 MB
- Xet hash:
- 23c233f135b189081d97ad24ba1765fbd82ccd8b07519f7f25f665abfc3b3fb2
- Size of remote file:
- 242 MB
- SHA256:
- 8f4f7c34d6ecc9d7fe8371e45c2888bac27e642eae4d9b73b86097e6584b4b1f
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