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_12-41-24_afebf84248ce /events.out.tfevents.1718368885.afebf84248ce.28547.2
- Xet hash:
- a856c69342ee4028160a087775ddcff2a691f7b7a3360ed9ce589b791344123f
- Size of remote file:
- 15 kB
- SHA256:
- 92e354ddbfa639fdc8c6fc3617cadaf5d85c43cde372e12c0a7d17156d281688
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