Instructions to use flax-community/mr-inltk-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use flax-community/mr-inltk-classifier with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("flax-community/mr-inltk-classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from flax-community/mr-inltk-classifier: direct link, hf CLI and curl.
- Browser
- Download file 2.83 MB
-
https://huggingface.co/flax-community/mr-inltk-classifier/resolve/main/tokenizer.json
- Command line
-
hf download hf://flax-community/mr-inltk-classifier/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/flax-community/mr-inltk-classifier/resolve/main/tokenizer.json
2.83 MB
- Xet hash:
- 199fc285ee29dce0a65d5d3df9943e0c5a4e7858d2d3720f69ee046a5697bdf7
- Size of remote file:
- 2.83 MB
- SHA256:
- b8ff481a3e0a05f4936c27b68ea48f86a75a024e62a4bf0895af6ac2316fa5e9
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