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:
- d8d6581b138706d1375843f6bf4160041392d93ce938f9f6d11cad69090bd5f9
- Size of remote file:
- 623 Bytes
- SHA256:
- 77dae8af04cc4eda79058d9f9b5ecc65298424f0272c970dcf82c14083a08f5f
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