Instructions to use Jeevesh8/t5-small-cogs_16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jeevesh8/t5-small-cogs_16 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Jeevesh8/t5-small-cogs_16") model = AutoModelForSeq2SeqLM.from_pretrained("Jeevesh8/t5-small-cogs_16", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download flax_model.msgpack from Jeevesh8/t5-small-cogs_16: direct link, hf CLI and curl.
- Browser
- Download file 242 MB
-
https://huggingface.co/Jeevesh8/t5-small-cogs_16/resolve/main/flax_model.msgpack
- Command line
-
hf download hf://Jeevesh8/t5-small-cogs_16/flax_model.msgpack
-
curl -L -o flax_model.msgpack https://huggingface.co/Jeevesh8/t5-small-cogs_16/resolve/main/flax_model.msgpack
242 MB
- Xet hash:
- bfe7115fa3f908175c666bd0a7e81b771df432569cce70f5f7d2c899cf516bab
- Size of remote file:
- 242 MB
- SHA256:
- 4d76a29f8bc04cb5e810e0ff25ad043a37197896df0e7834ac5d503c7360047a
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