Instructions to use SchwallerGroup/CheMatE-v0-MLM with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SchwallerGroup/CheMatE-v0-MLM with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="SchwallerGroup/CheMatE-v0-MLM")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("SchwallerGroup/CheMatE-v0-MLM") model = AutoModelForMaskedLM.from_pretrained("SchwallerGroup/CheMatE-v0-MLM") - Notebooks
- Google Colab
- Kaggle
CheMatE (MLM base)
The masked-language-modeling base for
SchwallerGroup/CheMatE-v0: a ModernBERT
model pretrained on SMILES-augmented chemistry text. For embeddings, use CheMatE-v0.
Usage
from transformers import pipeline
fill = pipeline("fill-mask", model="SchwallerGroup/CheMatE-v0-MLM")
fill("Aspirin is a common [MASK].")
License
MIT.
- Downloads last month
- 21