Instructions to use knc6/diffractgpt_mistral_chemical_formula with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use knc6/diffractgpt_mistral_chemical_formula with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/mistral-7b-bnb-4bit") model = PeftModel.from_pretrained(base_model, "knc6/diffractgpt_mistral_chemical_formula") - Notebooks
- Google Colab
- Kaggle
Update README.md
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README.md
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[Example colab notebook](https://colab.research.google.com/github/knc6/jarvis-tools-notebooks/blob/master/jarvis-tools-notebooks/DiffractGPT_example.ipynb)
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Reference: [Choudhary, K. (2025). DiffractGPT: Atomic Structure Determination from X-ray Diffraction Patterns Using a Generative Pretrained Transformer. The Journal of Physical Chemistry Letters, 16, 2110–2119.](https://pubs.acs.org/doi/10.1021/acs.jpclett.4c03137)
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[Example colab notebook](https://colab.research.google.com/github/knc6/jarvis-tools-notebooks/blob/master/jarvis-tools-notebooks/DiffractGPT_example.ipynb)
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Dataset: [https://huggingface.co/datasets/knc6/diffractgpt_jarvis_dft](https://huggingface.co/datasets/knc6/diffractgpt_jarvis_dft)
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Reference: [Choudhary, K. (2025). DiffractGPT: Atomic Structure Determination from X-ray Diffraction Patterns Using a Generative Pretrained Transformer. The Journal of Physical Chemistry Letters, 16, 2110–2119.](https://pubs.acs.org/doi/10.1021/acs.jpclett.4c03137)
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