Instructions to use mrm8488/chEMBL_smiles_v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mrm8488/chEMBL_smiles_v1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="mrm8488/chEMBL_smiles_v1")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("mrm8488/chEMBL_smiles_v1") model = AutoModelForMaskedLM.from_pretrained("mrm8488/chEMBL_smiles_v1") - Notebooks
- Google Colab
- Kaggle
Licensing
#2
by TomWhitehead - opened
We've found this to be a great tool for research use: would it be possible to add a license to make clear whether this can be used commercially?