Instructions to use 51la5/distilbert-base-NER with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use 51la5/distilbert-base-NER with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="51la5/distilbert-base-NER")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("51la5/distilbert-base-NER") model = AutoModelForTokenClassification.from_pretrained("51la5/distilbert-base-NER") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 144800136608d0e6e0630a3a41a44c4204f96bc246d02848a00e3627b303ac46
- Size of remote file:
- 2.16 kB
- SHA256:
- d8829495baa1a2259f501a4f578cbadd01af4203b57ffe21e6c39fe76825838e
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