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
- Xet hash:
- 283d0d69d8006e41370f32f10ef7037cb4f99d526634dce241e02b92d1e0f2e2
- Size of remote file:
- 1.42 GB
- SHA256:
- 1b3ab7fd4bd7b00ab922846888440e226c403e35bf9effcfebedb9abbcefa3b3
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