Token Classification
Transformers
PyTorch
English
roberta
keyphrase-extraction
Eval Results (legacy)
Instructions to use ml6team/keyphrase-extraction-kbir-kpcrowd with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ml6team/keyphrase-extraction-kbir-kpcrowd with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="ml6team/keyphrase-extraction-kbir-kpcrowd")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("ml6team/keyphrase-extraction-kbir-kpcrowd") model = AutoModelForTokenClassification.from_pretrained("ml6team/keyphrase-extraction-kbir-kpcrowd") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3952a52b3b0f7254cf546726d9c6b08d4466a1af658c56d8cb531e39a208adf3
- Size of remote file:
- 3.06 kB
- SHA256:
- d4cc7d2c11590a96e857d2b1646bdd5a6a44a41912e40ea3937e6312a79313a4
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