Instructions to use Jeevesh8/t5-small-cogs_4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jeevesh8/t5-small-cogs_4 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Jeevesh8/t5-small-cogs_4") model = AutoModelForSeq2SeqLM.from_pretrained("Jeevesh8/t5-small-cogs_4", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download flax_model.msgpack from Jeevesh8/t5-small-cogs_4: direct link, hf CLI and curl.
- Browser
- Download file 242 MB
-
https://huggingface.co/Jeevesh8/t5-small-cogs_4/resolve/main/flax_model.msgpack
- Command line
-
hf download hf://Jeevesh8/t5-small-cogs_4/flax_model.msgpack
-
curl -L -o flax_model.msgpack https://huggingface.co/Jeevesh8/t5-small-cogs_4/resolve/main/flax_model.msgpack
242 MB
- Xet hash:
- d9e82b23a7005bb3e31e9e92349d18ee1bc6bde267944000347b05a702ba0e07
- Size of remote file:
- 242 MB
- SHA256:
- ccf33e247b60a08a16b421cbdb0b4de6a8e79d952133e49c0660579a8d2b7444
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