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:
- 29ae98b47df6c87278a99aadefbc0e3fca112f1ea3fdff2d923946cbecaac6e4
- Size of remote file:
- 1.42 GB
- SHA256:
- bfc0bb5dfcc579fa06a06bf9eddffe3695c61cf48de5de5c4792f8d066ba1d85
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