Instructions to use BroLaurens/finer-distilbert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BroLaurens/finer-distilbert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="BroLaurens/finer-distilbert")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("BroLaurens/finer-distilbert") model = AutoModelForTokenClassification.from_pretrained("BroLaurens/finer-distilbert") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 69a468df3923eed3d9a82eb9ad27c3838f26d276f8534177100b35d6c7763f20
- Size of remote file:
- 265 MB
- SHA256:
- d15342c710b885337e5d8f9c0876c38715457807bbea47ae1fee3981e4baed06
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