Instructions to use lilaspourpre/rubert-tiny-obj-asp with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lilaspourpre/rubert-tiny-obj-asp with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="lilaspourpre/rubert-tiny-obj-asp")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("lilaspourpre/rubert-tiny-obj-asp") model = AutoModelForTokenClassification.from_pretrained("lilaspourpre/rubert-tiny-obj-asp") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 70de9138fb0ed21f331b98ad9779250d692c543a45dcbafb62cebbeecc8373d5
- Size of remote file:
- 46.8 MB
- SHA256:
- cc5413b52d139ca836cc1347e189cdbc6248894ec2ea6232a4fecb392657bed5
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