Instructions to use WealthFromAI/empire-router-distilbert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WealthFromAI/empire-router-distilbert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="WealthFromAI/empire-router-distilbert")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("WealthFromAI/empire-router-distilbert") model = AutoModelForSequenceClassification.from_pretrained("WealthFromAI/empire-router-distilbert") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b36dbd54b14cb01b6793553f01fa2bd67aaffa040c3d81f5bc04b7c477f92d74
- Size of remote file:
- 268 MB
- SHA256:
- c605e75478a1c0d9c3ab88ca6dccf30d37ec8ebd3aed2a9dfc2d966dad04bb28
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