Instructions to use Jeevesh8/t5-small-cogs_1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jeevesh8/t5-small-cogs_1 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Jeevesh8/t5-small-cogs_1") model = AutoModelForSeq2SeqLM.from_pretrained("Jeevesh8/t5-small-cogs_1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download flax_model.msgpack from Jeevesh8/t5-small-cogs_1: direct link, hf CLI and curl.
- Browser
- Download file 242 MB
-
https://huggingface.co/Jeevesh8/t5-small-cogs_1/resolve/main/flax_model.msgpack
- Command line
-
hf download hf://Jeevesh8/t5-small-cogs_1/flax_model.msgpack
-
curl -L -o flax_model.msgpack https://huggingface.co/Jeevesh8/t5-small-cogs_1/resolve/main/flax_model.msgpack
242 MB
- Xet hash:
- cad21fa8c0d42940e77bb612f21e0cc9a3921bf4a4173597411e3ce1c28c3220
- Size of remote file:
- 242 MB
- SHA256:
- 8f38f3bd117e936464638fc1fbd407956b0aaf1b8fdc86fb41eb460fc13b937a
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