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:
- 2053e1cc26da5d4357ee003a9c342f3b6d6c60d780a8e26720bca3cc9d31c02d
- Size of remote file:
- 3.06 kB
- SHA256:
- f7187e3e56d6824e3dfbbfff25e7b38a82dc998f97a066d504b91d3ceac5b002
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