Instructions to use Jeevesh8/t5-small-cogs_12 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jeevesh8/t5-small-cogs_12 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Jeevesh8/t5-small-cogs_12") model = AutoModelForSeq2SeqLM.from_pretrained("Jeevesh8/t5-small-cogs_12", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download flax_model.msgpack from Jeevesh8/t5-small-cogs_12: direct link, hf CLI and curl.
- Browser
- Download file 242 MB
-
https://huggingface.co/Jeevesh8/t5-small-cogs_12/resolve/main/flax_model.msgpack
- Command line
-
hf download hf://Jeevesh8/t5-small-cogs_12/flax_model.msgpack
-
curl -L -o flax_model.msgpack https://huggingface.co/Jeevesh8/t5-small-cogs_12/resolve/main/flax_model.msgpack
242 MB
- Xet hash:
- c3a522f8c695a9817db29bd6b476a7bcb0b7769d032549ecfcdef4a6d2c9086f
- Size of remote file:
- 242 MB
- SHA256:
- 97d2eaa9af2ea5780dc95a8f1461c0f12a4a5c135140ba8d6c4fa932b5cf910d
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