Instructions to use contemmcm/0ec236299b317d76c0f94de06fc85471 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use contemmcm/0ec236299b317d76c0f94de06fc85471 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="contemmcm/0ec236299b317d76c0f94de06fc85471")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("contemmcm/0ec236299b317d76c0f94de06fc85471") model = AutoModelForSequenceClassification.from_pretrained("contemmcm/0ec236299b317d76c0f94de06fc85471") - Notebooks
- Google Colab
- Kaggle