Instructions to use primel/intent-classifier-entity-executor with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use primel/intent-classifier-entity-executor with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="primel/intent-classifier-entity-executor")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("primel/intent-classifier-entity-executor") model = AutoModelForTokenClassification.from_pretrained("primel/intent-classifier-entity-executor") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 30518cc549e1edbec6635d53e76a72469be813da4ddc190dfc830826466d5261
- Size of remote file:
- 709 MB
- SHA256:
- 55f8b3daf604c1263eb39db1bfda1eba18d2d831501625f645cb7f3bbd539245
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