Instructions to use mohammadmahdinouri/mol-final-checkpoints with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mohammadmahdinouri/mol-final-checkpoints with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="mohammadmahdinouri/mol-final-checkpoints")# pip install -U transformers accelerate # Load model directly from transformers import AutoModelForMaskedLM model = AutoModelForMaskedLM.from_pretrained("mohammadmahdinouri/mol-final-checkpoints", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from mohammadmahdinouri/mol-final-checkpoints: direct link, hf CLI and curl.
- Browser
- Download file 152 MB
-
https://huggingface.co/mohammadmahdinouri/mol-final-checkpoints/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://mohammadmahdinouri/mol-final-checkpoints/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/mohammadmahdinouri/mol-final-checkpoints/resolve/main/pytorch_model.bin
152 MB
- Xet hash:
- 1b47be2eb777df9ee4d59ee60999839037843cfab1108c147881d4b7aa9a79aa
- Size of remote file:
- 152 MB
- SHA256:
- 49787b15e6aaff2be4704ae867a53ddcd01bd85ef8672ca24b2265e57a8a0019
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