Instructions to use chenxran/bart-smiles with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use chenxran/bart-smiles with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="chenxran/bart-smiles")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("chenxran/bart-smiles") model = AutoModel.from_pretrained("chenxran/bart-smiles") - 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 sha256:5732e8b1c311f55e349628bcd03d4e040430b835e85f0b16717ccf65fbdc14bb
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size 1416199792
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