Instructions to use Jeevesh8/t5-small-cogs_7 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jeevesh8/t5-small-cogs_7 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Jeevesh8/t5-small-cogs_7") model = AutoModelForSeq2SeqLM.from_pretrained("Jeevesh8/t5-small-cogs_7", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download flax_model.msgpack from Jeevesh8/t5-small-cogs_7: direct link, hf CLI and curl.
- Browser
- Download file 242 MB
-
https://huggingface.co/Jeevesh8/t5-small-cogs_7/resolve/main/flax_model.msgpack
- Command line
-
hf download hf://Jeevesh8/t5-small-cogs_7/flax_model.msgpack
-
curl -L -o flax_model.msgpack https://huggingface.co/Jeevesh8/t5-small-cogs_7/resolve/main/flax_model.msgpack
242 MB
- Xet hash:
- b9558dcc360f076a2b8f461736e795e62400dd5b6083f13e118a448572611302
- Size of remote file:
- 242 MB
- SHA256:
- 1b0cb7b6ea5ab587e1e47ae268131d0a520a59ba3ed2c52f106c8c5bad5c38e4
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