Instructions to use Jeevesh8/t5-small-cogs_11 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jeevesh8/t5-small-cogs_11 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Jeevesh8/t5-small-cogs_11") model = AutoModelForSeq2SeqLM.from_pretrained("Jeevesh8/t5-small-cogs_11", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download flax_model.msgpack from Jeevesh8/t5-small-cogs_11: direct link, hf CLI and curl.
- Browser
- Download file 242 MB
-
https://huggingface.co/Jeevesh8/t5-small-cogs_11/resolve/main/flax_model.msgpack
- Command line
-
hf download hf://Jeevesh8/t5-small-cogs_11/flax_model.msgpack
-
curl -L -o flax_model.msgpack https://huggingface.co/Jeevesh8/t5-small-cogs_11/resolve/main/flax_model.msgpack
242 MB
- Xet hash:
- 26fae5e6f462af4f8ceab320a2dac6eef5ff9a073d2126f1fe9436388ab393b7
- Size of remote file:
- 242 MB
- SHA256:
- 8c2efca871d8c83d0656c56d23147c6f830eba0b39d1accc10c2cb152c3c5d27
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