Instructions to use truptimohanty/CrysText-RL with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use truptimohanty/CrysText-RL with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("truptimohanty/CrysText-RL", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
CrysText-RL: Reinforcement Learned CrysText Model for Crystal Structure Generation
Developed by: truptimohanty
License: apache-2.0
Finetuned from model : truptimohanty/CrysText
base_model: unsloth/mistral-7b-v0.3-bnb-4bit
GitHub Repository: https://github.com/truptimohanty/CrysText
This mistral model was trained 2x faster with Unsloth and Huggingface's TRL library.
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Model tree for truptimohanty/CrysText-RL
Base model
mistralai/Mistral-7B-v0.3 Quantized
unsloth/mistral-7b-v0.3-bnb-4bit