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")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("Lucifer-nick/coconut_smiles") model = AutoModelForMaskedLM.from_pretrained("Lucifer-nick/coconut_smiles", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from Lucifer-nick/coconut_smiles: direct link, hf CLI and curl.
- Browser
- Download file 336 MB
-
https://huggingface.co/Lucifer-nick/coconut_smiles/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://Lucifer-nick/coconut_smiles/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Lucifer-nick/coconut_smiles/resolve/main/pytorch_model.bin
336 MB
- Xet hash:
- 28c36979cd817c1c27e3d6cc9f9b39e6c61432ff50693ccd87cb6122fedff3ee
- Size of remote file:
- 336 MB
- SHA256:
- cd7d54ea304cb09c9a805a2aa1851c1f86b06983b78b3b8d3cf25b1a7ece0165
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