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:
- 2ddabaf55213dbf57552f6e772a9a62d656a5c4230b3869290246cd52ac0426e
- Size of remote file:
- 434 MB
- SHA256:
- 2bb62480e3418d87f11e9d09a2e7690ce306d33a93797174020a62a93ccb014f
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