Instructions to use jonghyunlee/ChemBERT_ChEMBL_pretrained with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jonghyunlee/ChemBERT_ChEMBL_pretrained with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="jonghyunlee/ChemBERT_ChEMBL_pretrained")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("jonghyunlee/ChemBERT_ChEMBL_pretrained") model = AutoModel.from_pretrained("jonghyunlee/ChemBERT_ChEMBL_pretrained") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:82fc76e1646392623262d882338ec5a557b70cbc0cc23a5da097e3b6bd812236
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size 25493816
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