Token Classification
Transformers
PyTorch
English
roberta
keyphrase-extraction
Eval Results (legacy)
Instructions to use ml6team/keyphrase-extraction-kbir-inspec with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ml6team/keyphrase-extraction-kbir-inspec with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="ml6team/keyphrase-extraction-kbir-inspec")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("ml6team/keyphrase-extraction-kbir-inspec") model = AutoModelForTokenClassification.from_pretrained("ml6team/keyphrase-extraction-kbir-inspec", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download vocab.json from ml6team/keyphrase-extraction-kbir-inspec: direct link, hf CLI and curl.
- Browser
- Download file 798 kB
-
https://huggingface.co/ml6team/keyphrase-extraction-kbir-inspec/resolve/08356927e4166ee6d8cc03c7ef8d1b1b55d09fb1/vocab.json
- Command line
-
hf download hf://ml6team/keyphrase-extraction-kbir-inspec@08356927e4166ee6d8cc03c7ef8d1b1b55d09fb1/vocab.json
-
curl -L -o vocab.json https://huggingface.co/ml6team/keyphrase-extraction-kbir-inspec/resolve/08356927e4166ee6d8cc03c7ef8d1b1b55d09fb1/vocab.json
798 kB
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