Instructions to use Jeevesh8/t5-small-cogs_21 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jeevesh8/t5-small-cogs_21 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Jeevesh8/t5-small-cogs_21") model = AutoModelForSeq2SeqLM.from_pretrained("Jeevesh8/t5-small-cogs_21", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download flax_model.msgpack from Jeevesh8/t5-small-cogs_21: direct link, hf CLI and curl.
- Browser
- Download file 242 MB
-
https://huggingface.co/Jeevesh8/t5-small-cogs_21/resolve/main/flax_model.msgpack
- Command line
-
hf download hf://Jeevesh8/t5-small-cogs_21/flax_model.msgpack
-
curl -L -o flax_model.msgpack https://huggingface.co/Jeevesh8/t5-small-cogs_21/resolve/main/flax_model.msgpack
242 MB
- Xet hash:
- f44989fc0b8be5391e374bd5d5f020a468ab8a208c6aefddeeb0a00ae052536a
- Size of remote file:
- 242 MB
- SHA256:
- b94919b8798511ab25ad5d94956a4a2bb2f8f58ea9ed81edd5f714ce49ec26f2
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