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
animals_pfr_mdeberta_512 / runs /May09_15-16-01_01ded70e81ae /events.out.tfevents.1746803764.01ded70e81ae.1005.0
- Xet hash:
- 90ebcf941940fad1cbd7273f1ead532a7e31d3d78376d25c10e5697450c29916
- Size of remote file:
- 41.8 kB
- SHA256:
- 2eea39b63cd255b15858530e6fadb8e66dd794119095e6e2b93971c0689a4385
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