Text Classification
Transformers
PyTorch
Safetensors
bert
chemistry
drug-design
synthesis-accessibility
cheminformatics
drug-discovery
selfies
drugs
molecules
compounds
ranger21
madgrad
text-embeddings-inference
Instructions to use gbyuvd/synthaccess-chemselfies with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gbyuvd/synthaccess-chemselfies with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="gbyuvd/synthaccess-chemselfies")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("gbyuvd/synthaccess-chemselfies") model = AutoModelForSequenceClassification.from_pretrained("gbyuvd/synthaccess-chemselfies") - Notebooks
- Google Colab
- Kaggle
Ctrl+K