Token Classification
Transformers
PyTorch
English
distilbert
keyphrase-extraction
Eval Results (legacy)
Instructions to use ml6team/keyphrase-extraction-distilbert-inspec with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ml6team/keyphrase-extraction-distilbert-inspec with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="ml6team/keyphrase-extraction-distilbert-inspec")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("ml6team/keyphrase-extraction-distilbert-inspec") model = AutoModelForTokenClassification.from_pretrained("ml6team/keyphrase-extraction-distilbert-inspec", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0fff45899a596535334222e72da0dc991644de238ebc8e23017e4f04fec44b4c
- Size of remote file:
- 266 MB
- SHA256:
- a98a219be45970a6d489a4ed2330d0b5006f1fe5e16375acfbe5f51a9737d7c9
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