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") - Notebooks
- Google Colab
- Kaggle
Fine-tuning
#6
by tanmay2308 - opened
Can we fine-tune this model on custom data? Specifically, data that is labeled through Label-Studio or any other NER Annotators.
Same question and also how to train it locally or on google collab?