Instructions to use Jeevesh8/t5-small-cogs_0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jeevesh8/t5-small-cogs_0 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Jeevesh8/t5-small-cogs_0") model = AutoModelForSeq2SeqLM.from_pretrained("Jeevesh8/t5-small-cogs_0", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download flax_model.msgpack from Jeevesh8/t5-small-cogs_0: direct link, hf CLI and curl.
- Browser
- Download file 242 MB
-
https://huggingface.co/Jeevesh8/t5-small-cogs_0/resolve/main/flax_model.msgpack
- Command line
-
hf download hf://Jeevesh8/t5-small-cogs_0/flax_model.msgpack
-
curl -L -o flax_model.msgpack https://huggingface.co/Jeevesh8/t5-small-cogs_0/resolve/main/flax_model.msgpack
242 MB
- Xet hash:
- ca9ddfd4c072657a6c0fc28cf6507a507f155e2770daa856fc12ae6f2d00b316
- Size of remote file:
- 242 MB
- SHA256:
- e2f3003eff67344936b5aabc5995b0be128543a3d9e5602bea23cca38d513e10
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