Instructions to use kunalr63/roberta-parser with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kunalr63/roberta-parser with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="kunalr63/roberta-parser")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("kunalr63/roberta-parser") model = AutoModelForTokenClassification.from_pretrained("kunalr63/roberta-parser") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d464c3dff1e12c9322de8d0a06e3fc314cc8ccd3dfc3c1199169ca255a1ab943
- Size of remote file:
- 4.53 kB
- SHA256:
- 8148d2dc0a436ed82b2d2cebae0bb023641d1fd8c6807f21a54b2299783d8eae
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