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
animals_dbnl_bertje / runs /Jun15_09-19-17_d492026104f6 /events.out.tfevents.1718443157.d492026104f6.5032.6
- Xet hash:
- 7ba4e9506cf9825ddb45036b667fb0525f7f41bc53517bb111579a9ebe5637da
- Size of remote file:
- 10.1 kB
- SHA256:
- b998dc633e328a8bf3293af46816af6a557d658db8636fa72d9e4e40d2a92654
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