Text Classification
Transformers
Safetensors
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use contemmcm/745d0aca53710286a45ede14176833ed with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use contemmcm/745d0aca53710286a45ede14176833ed with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="contemmcm/745d0aca53710286a45ede14176833ed")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("contemmcm/745d0aca53710286a45ede14176833ed") model = AutoModelForSequenceClassification.from_pretrained("contemmcm/745d0aca53710286a45ede14176833ed") - Notebooks
- Google Colab
- Kaggle