Instructions to use Jeevesh8/t5-small-cogs_6 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jeevesh8/t5-small-cogs_6 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Jeevesh8/t5-small-cogs_6") model = AutoModelForSeq2SeqLM.from_pretrained("Jeevesh8/t5-small-cogs_6", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download flax_model.msgpack from Jeevesh8/t5-small-cogs_6: direct link, hf CLI and curl.
- Browser
- Download file 242 MB
-
https://huggingface.co/Jeevesh8/t5-small-cogs_6/resolve/main/flax_model.msgpack
- Command line
-
hf download hf://Jeevesh8/t5-small-cogs_6/flax_model.msgpack
-
curl -L -o flax_model.msgpack https://huggingface.co/Jeevesh8/t5-small-cogs_6/resolve/main/flax_model.msgpack
242 MB
- Xet hash:
- d310b7d8a4e09183117d4c84f5a53abbc9554b66758e49b77e017729b40652f5
- Size of remote file:
- 242 MB
- SHA256:
- 6b78240a15b25a8777df4aff59903a9740663dbe5ad7813ac27769ae6fefe8aa
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