Instructions to use contemmcm/ca8aebc8d2d06211b9317c1e9d5c74cd with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use contemmcm/ca8aebc8d2d06211b9317c1e9d5c74cd with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="contemmcm/ca8aebc8d2d06211b9317c1e9d5c74cd")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("contemmcm/ca8aebc8d2d06211b9317c1e9d5c74cd") model = AutoModelForSequenceClassification.from_pretrained("contemmcm/ca8aebc8d2d06211b9317c1e9d5c74cd") - Notebooks
- Google Colab
- Kaggle
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