Instructions to use dfelorza/Yelp_classification_distilbert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dfelorza/Yelp_classification_distilbert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="dfelorza/Yelp_classification_distilbert")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("dfelorza/Yelp_classification_distilbert") model = AutoModelForSequenceClassification.from_pretrained("dfelorza/Yelp_classification_distilbert") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 2
Browse files
pytorch_model.bin
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runs/May31_12-56-32_40a758e9e07e/events.out.tfevents.1717160207.40a758e9e07e.33.0
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