Instructions to use ArjanvD95/animals_mdeberta_s42 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ArjanvD95/animals_mdeberta_s42 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="ArjanvD95/animals_mdeberta_s42")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("ArjanvD95/animals_mdeberta_s42") model = AutoModelForTokenClassification.from_pretrained("ArjanvD95/animals_mdeberta_s42") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8d5cef209e98419a55fbd8b9ce2cb6adff48e057f4282a2fc6c56680b2734913
- Size of remote file:
- 1.11 GB
- SHA256:
- bd0028a9559ade67eab613921a1680e9d3d83ad987857bf19a3adb831f2eee21
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