Instructions to use Jeevesh8/t5-small-cogs_8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jeevesh8/t5-small-cogs_8 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Jeevesh8/t5-small-cogs_8") model = AutoModelForSeq2SeqLM.from_pretrained("Jeevesh8/t5-small-cogs_8", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download flax_model.msgpack from Jeevesh8/t5-small-cogs_8: direct link, hf CLI and curl.
- Browser
- Download file 242 MB
-
https://huggingface.co/Jeevesh8/t5-small-cogs_8/resolve/main/flax_model.msgpack
- Command line
-
hf download hf://Jeevesh8/t5-small-cogs_8/flax_model.msgpack
-
curl -L -o flax_model.msgpack https://huggingface.co/Jeevesh8/t5-small-cogs_8/resolve/main/flax_model.msgpack
242 MB
- Xet hash:
- 350837a59711805c825d8c539f0e9241ca9e3a6440c8013297515319420b6d6e
- Size of remote file:
- 242 MB
- SHA256:
- b1211f24ff4dd67f040105e9a568e93b350a78a47aa0b36d690c7459ed743199
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