Feature Extraction
Transformers
Safetensors
deberta-v2
chemistry
bioinformatics
drug-discovery
text-embeddings-inference
Instructions to use SaeedLab/MolDeBERTa-base-123M-contrastive_mlc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SaeedLab/MolDeBERTa-base-123M-contrastive_mlc with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="SaeedLab/MolDeBERTa-base-123M-contrastive_mlc")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("SaeedLab/MolDeBERTa-base-123M-contrastive_mlc") model = AutoModel.from_pretrained("SaeedLab/MolDeBERTa-base-123M-contrastive_mlc", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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