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:
- 99bc0380c923f608fca3a5d17d8e8582947282892a05b0e8e771ce94df2d0cd2
- Size of remote file:
- 2.24 GB
- SHA256:
- f4f278bbb9872f09685901c560a455c9631374116bcd4d65775c3f443c3761f9
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