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:
- 00e9ac3bd14b2f5f72165afeb0f532b182277c45290f18bf4c39ba5009d657b3
- Size of remote file:
- 5.33 kB
- SHA256:
- 52e638b40ba84703e62e2523adea81d06bbc51ef3770826656b5e5a6db0ade1f
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.