Instructions to use Jeevesh8/t5-small_re-cogs_21 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jeevesh8/t5-small_re-cogs_21 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Jeevesh8/t5-small_re-cogs_21") model = AutoModelForSeq2SeqLM.from_pretrained("Jeevesh8/t5-small_re-cogs_21", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download flax_model.msgpack from Jeevesh8/t5-small_re-cogs_21: direct link, hf CLI and curl.
- Browser
- Download file 308 MB
-
https://huggingface.co/Jeevesh8/t5-small_re-cogs_21/resolve/main/flax_model.msgpack
- Command line
-
hf download hf://Jeevesh8/t5-small_re-cogs_21/flax_model.msgpack
-
curl -L -o flax_model.msgpack https://huggingface.co/Jeevesh8/t5-small_re-cogs_21/resolve/main/flax_model.msgpack
308 MB
- Xet hash:
- 0f233259d79195f1d0b3b7a3aac931e67d0b473bc7844cf9cebb8d9d6fc296f4
- Size of remote file:
- 308 MB
- SHA256:
- a2318c65a67ab1d7731e5ac5cba6cc50043ac5449d1b08b159fd84a251874041
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