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
dbnl_gysbert / runs /Jun14_09-46-44_afebf84248ce /events.out.tfevents.1718358405.afebf84248ce.3587.1
- Xet hash:
- c41ebc9d15e33153f57bb3d7bb30b693b1fac11f305d54cab4f32e9a9b1b32bb
- Size of remote file:
- 14.7 kB
- SHA256:
- 938c47173d3f87c94103ceac4f4dc4dc4dd1cd5bdf334dfe56e983d133192fd6
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