Text Classification
Transformers
Safetensors
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use contemmcm/e5949f8e378cc703b2a4e1e643b489fd with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use contemmcm/e5949f8e378cc703b2a4e1e643b489fd with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="contemmcm/e5949f8e378cc703b2a4e1e643b489fd")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("contemmcm/e5949f8e378cc703b2a4e1e643b489fd") model = AutoModelForSequenceClassification.from_pretrained("contemmcm/e5949f8e378cc703b2a4e1e643b489fd", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Ctrl+K