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:
- bfdd5c23d88aff224399ad96e327af0fbec9c45aaf51e6861aac54230d3159f1
- Size of remote file:
- 5.18 kB
- SHA256:
- a95f9a4539891d766e200814bd0a6a979ca75fb594887f77e080e6c8a7cb204d
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