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")# pip install -U transformers accelerate # 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") - Inference
- Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from ml6team/keyphrase-extraction-distilbert-inspec: direct link, hf CLI and curl.
- Browser
- Download file 712 kB
-
https://huggingface.co/ml6team/keyphrase-extraction-distilbert-inspec/resolve/main/tokenizer.json
- Command line
-
hf download hf://ml6team/keyphrase-extraction-distilbert-inspec/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/ml6team/keyphrase-extraction-distilbert-inspec/resolve/main/tokenizer.json
712 kB
File too large to display, you can check the raw version instead.