Instructions to use Jeevesh8/t5-small-cogs_19 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jeevesh8/t5-small-cogs_19 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Jeevesh8/t5-small-cogs_19") model = AutoModelForSeq2SeqLM.from_pretrained("Jeevesh8/t5-small-cogs_19", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download flax_model.msgpack from Jeevesh8/t5-small-cogs_19: direct link, hf CLI and curl.
- Browser
- Download file 242 MB
-
https://huggingface.co/Jeevesh8/t5-small-cogs_19/resolve/main/flax_model.msgpack
- Command line
-
hf download hf://Jeevesh8/t5-small-cogs_19/flax_model.msgpack
-
curl -L -o flax_model.msgpack https://huggingface.co/Jeevesh8/t5-small-cogs_19/resolve/main/flax_model.msgpack
242 MB
- Xet hash:
- cfe3c673c93f2a5dfbaac8503718f779ee50bfda8cdfb70d371c3041e9be3983
- Size of remote file:
- 242 MB
- SHA256:
- 918b656d48d7049c0d5b5d13cf4b69f6117c81ec1cbc73ec84ed71d83e62446a
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