Token Classification
Transformers
PyTorch
English
roberta
keyphrase-extraction
Eval Results (legacy)
Instructions to use ml6team/keyphrase-extraction-kbir-openkp with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ml6team/keyphrase-extraction-kbir-openkp with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="ml6team/keyphrase-extraction-kbir-openkp")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("ml6team/keyphrase-extraction-kbir-openkp") model = AutoModelForTokenClassification.from_pretrained("ml6team/keyphrase-extraction-kbir-openkp", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1042126c22d2d8b3b6c16e2bb1a84ac2ef936a7fcdb05d9f6d141d3e3f50f48c
- Size of remote file:
- 3.06 kB
- SHA256:
- d7547c3e1ff4fb7082fe53db7750ee8d250be273c213939b0bbc9be1da979176
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