Instructions to use Aya-In-Brooklyn/spaCy-roberta-workout-entity-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Aya-In-Brooklyn/spaCy-roberta-workout-entity-model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Aya-In-Brooklyn/spaCy-roberta-workout-entity-model")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Aya-In-Brooklyn/spaCy-roberta-workout-entity-model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 65e2858388c50045c683c557b8d62a8f1a5638f781e786000aa88c925502bd6f
- Size of remote file:
- 502 MB
- SHA256:
- a0682845b575f9aa392c208d2d4158461447700753f2f7af4a1ddb6b2c2490d2
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