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:
- d4902e085fe18f910efb1aa95dd3be0c1bdd875394a583ca88c3b8d31657af2e
- Size of remote file:
- 434 MB
- SHA256:
- 45bcfdc1706dd1ed64cfccf550924c2abffefaaee0295b3386eb9b7b58a3b7e7
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