Instructions to use ArjanvD95/animals_pfr_mdeberta_512 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ArjanvD95/animals_pfr_mdeberta_512 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="ArjanvD95/animals_pfr_mdeberta_512")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("ArjanvD95/animals_pfr_mdeberta_512") model = AutoModelForTokenClassification.from_pretrained("ArjanvD95/animals_pfr_mdeberta_512") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7979cc3178be326bc9779359caf2d450e621a40715da3a59e3e285b103986658
- Size of remote file:
- 1.11 GB
- SHA256:
- 241a841e6821536ab22b0eb3395b1c7b85d0a3c7771f36e05b4ade2660cc229e
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