Instructions to use ArjanvD95/animals_roberta_large_s42 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ArjanvD95/animals_roberta_large_s42 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="ArjanvD95/animals_roberta_large_s42")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("ArjanvD95/animals_roberta_large_s42") model = AutoModelForTokenClassification.from_pretrained("ArjanvD95/animals_roberta_large_s42") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 639431fe4e7c9c028a4965f719fbf511702f0f88bdd81377a0bbe9f8a8d0abd1
- Size of remote file:
- 5.24 kB
- SHA256:
- 9bded5f3b7a23e051dc634d8901530e6e72dc828f45fbed8513b8bfac85b7202
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