Instructions to use contemmcm/1a134dc2eb3bce07c9a7936c27c0d2c8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use contemmcm/1a134dc2eb3bce07c9a7936c27c0d2c8 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="contemmcm/1a134dc2eb3bce07c9a7936c27c0d2c8")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("contemmcm/1a134dc2eb3bce07c9a7936c27c0d2c8") model = AutoModelForSequenceClassification.from_pretrained("contemmcm/1a134dc2eb3bce07c9a7936c27c0d2c8", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Welcome to the community
The community tab is the place to discuss and collaborate with the HF community!