Instructions to use Source82/chemDataset-model_merged with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Source82/chemDataset-model_merged with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="Source82/chemDataset-model_merged")# Load model directly from transformers import AutoProcessor, AutoModel processor = AutoProcessor.from_pretrained("Source82/chemDataset-model_merged") model = AutoModel.from_pretrained("Source82/chemDataset-model_merged", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
(Trained with Unsloth)
Browse files
model-00001-of-00002.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:e36d7966fac7099fc9ba83f5af9409f1ad3fc7c9889f0825db2fcc942ab29bba
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size 3982649232
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