Text Generation
PEFT
Safetensors
English
chemistry
text-generation-inference
atomgpt
superconductors
Instructions to use atomgptlab/atomgpt_mistral_tc_supercon with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use atomgptlab/atomgpt_mistral_tc_supercon 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/atomgpt_mistral_tc_supercon") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cd191a93856ea89e30d8bceb9b8f3896fc4b3fe25b9cb6aa916237ca4398c48d
- Size of remote file:
- 5.05 kB
- SHA256:
- c04dc659f2ae97d4df47e708a8c6c52d71934f1fce81a74499af50713aa967c6
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