Instructions to use Lucifer-nick/coconut_smiles with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Lucifer-nick/coconut_smiles with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="Lucifer-nick/coconut_smiles")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("Lucifer-nick/coconut_smiles") model = AutoModelForMaskedLM.from_pretrained("Lucifer-nick/coconut_smiles") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 158f5dc72b0051f94de9d3c74003704ddb1ab2d1fcb4c395325f96883a8e1b41
- Size of remote file:
- 334 MB
- SHA256:
- bacf3fdd89524bbf490f517337d1b74af7897456b011a7e06b20377fd3aa1b4a
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