Instructions to use Jeevesh8/t5-small_cogs_35 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jeevesh8/t5-small_cogs_35 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Jeevesh8/t5-small_cogs_35") model = AutoModelForSeq2SeqLM.from_pretrained("Jeevesh8/t5-small_cogs_35", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download flax_model.msgpack from Jeevesh8/t5-small_cogs_35: direct link, hf CLI and curl.
- Browser
- Download file 308 MB
-
https://huggingface.co/Jeevesh8/t5-small_cogs_35/resolve/main/flax_model.msgpack
- Command line
-
hf download hf://Jeevesh8/t5-small_cogs_35/flax_model.msgpack
-
curl -L -o flax_model.msgpack https://huggingface.co/Jeevesh8/t5-small_cogs_35/resolve/main/flax_model.msgpack
308 MB
- Xet hash:
- 56e53585e5eb4fbca05bbeb3bbe4f1aca869e96784dbf46ad90cd934ce041238
- Size of remote file:
- 308 MB
- SHA256:
- a3222701b4336a41b23c498dce330bbdb9a47d1d2ec2f25556555696e6dd58dc
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