Instructions to use HoangHa/Smiles_ChemBL with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use HoangHa/Smiles_ChemBL with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="HoangHa/Smiles_ChemBL")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("HoangHa/Smiles_ChemBL") model = AutoModelForMaskedLM.from_pretrained("HoangHa/Smiles_ChemBL") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6cc86e80b29992b736bfadbddb0fc19bc69627a16edd884a24daf5c62b1c236c
- Size of remote file:
- 499 MB
- SHA256:
- f1c957953dd705cc6d0c1632a0e111443de4b19f44489e7d1711c2e0fe10e1c7
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