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
- Xet hash:
- 44af0025745c8418872a6bf1e40836bc5b5c435b0d6193a72cd1b79212913e1a
- Size of remote file:
- 5.97 kB
- SHA256:
- a29ae963b1cd9c79b2ed60136cd8fd78a6446f1f675085136151e1354e942950
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