Instructions to use ArjanvD95/dbnl_gysbert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ArjanvD95/dbnl_gysbert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="ArjanvD95/dbnl_gysbert")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("ArjanvD95/dbnl_gysbert") model = AutoModelForTokenClassification.from_pretrained("ArjanvD95/dbnl_gysbert") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- dcfe9302b6283731f07bfa38e1b97a565e1efe68ce164508f60f5fb960ca1699
- Size of remote file:
- 436 MB
- SHA256:
- 442a32b00fc4bcb1422e9338ba3db41ecd752f1e39f19502e041c251874e7720
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