Instructions to use Fraser/ag_news with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Fraser/ag_news with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import T5VaeForAutoencoding model = T5VaeForAutoencoding.from_pretrained("Fraser/ag_news", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download flax_model.msgpack from Fraser/ag_news: direct link, hf CLI and curl.
- Browser
- Download file 892 MB
-
https://huggingface.co/Fraser/ag_news/resolve/main/flax_model.msgpack
- Command line
-
hf download hf://Fraser/ag_news/flax_model.msgpack
-
curl -L -o flax_model.msgpack https://huggingface.co/Fraser/ag_news/resolve/main/flax_model.msgpack
892 MB
- Xet hash:
- 00912d19bd59b3d6370e59c5546b1a2c01f33bcfdd7ccc21ce359a79f86e66e9
- Size of remote file:
- 892 MB
- SHA256:
- 39408ad86de65d345745c2166c8ca79670688ed6142d273bbf0a768cebada403
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