Instructions to use atomgptlab/diffractgpt_mistral_chemical_formula with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use atomgptlab/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, "atomgptlab/diffractgpt_mistral_chemical_formula") - Notebooks
- Google Colab
- Kaggle
metadata
base_model: unsloth/mistral-7b-bnb-4bit
library_name: peft
license: mit
language:
- en
tags:
- chemistry
- text-generation-inference
- atomgpt
- diffraction
pipeline_tag: text-generation
DiffractGPT: Atomic Structure Determination from X-ray Diffraction Patterns Using a Generative Pretrained Transformer
GitHub: https://github.com/atomgptlab/atomgpt
Web app: https://atomgpt.org/xrd
Dataset: https://huggingface.co/datasets/knc6/diffractgpt_jarvis_dft
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Framework versions
- PEFT 0.11.1