Instructions to use mhmsadegh/cause-effect-ModernBERT-base-e3-contrastive-lambda03-version-azar1404 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mhmsadegh/cause-effect-ModernBERT-base-e3-contrastive-lambda03-version-azar1404 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="mhmsadegh/cause-effect-ModernBERT-base-e3-contrastive-lambda03-version-azar1404")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("mhmsadegh/cause-effect-ModernBERT-base-e3-contrastive-lambda03-version-azar1404") model = AutoModel.from_pretrained("mhmsadegh/cause-effect-ModernBERT-base-e3-contrastive-lambda03-version-azar1404", device_map="auto") - Notebooks
- Google Colab
- Kaggle