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:
- 71364a27d4b9f6ec91571e8095662c33973a1866ca33e3398e03b2e09cc79169
- Size of remote file:
- 434 MB
- SHA256:
- 8b7734a14f3e77dd255027b0ea8d56f3a38b68104e08f3426d202b111bcf29c5
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