Instructions to use ArjanvD95/animals_dbnl_bertje with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ArjanvD95/animals_dbnl_bertje with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="ArjanvD95/animals_dbnl_bertje")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("ArjanvD95/animals_dbnl_bertje") model = AutoModelForTokenClassification.from_pretrained("ArjanvD95/animals_dbnl_bertje") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 257202f433376c033fee7dc5e27e58448cadeccabf717d67d2674de79b6bdd75
- Size of remote file:
- 434 MB
- SHA256:
- 82f5cda02b6e6258027adf4eda93410125ea1d3e0eaf9cc70cdea30fc836405b
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