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")# pip install -U transformers accelerate # 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
Download ner/model from Aya-In-Brooklyn/spaCy-roberta-workout-entity-model: direct link, hf CLI and curl.
- Browser
- Download file 475 kB
-
https://huggingface.co/Aya-In-Brooklyn/spaCy-roberta-workout-entity-model/resolve/main/ner/model
- Command line
-
hf download hf://Aya-In-Brooklyn/spaCy-roberta-workout-entity-model/ner/model
-
curl -L -o model https://huggingface.co/Aya-In-Brooklyn/spaCy-roberta-workout-entity-model/resolve/main/ner/model
475 kB
- Xet hash:
- e4323322e3ba97431cb66f2e766c50975c766fb99f45d129e2d3142ee169f84f
- Size of remote file:
- 475 kB
- SHA256:
- 7f8093861431b1ae5614777b08d12a584121d89df033fe4aa7bb31b16eb74bd9
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