Instructions to use Harishapc/Rich-X24 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Harishapc/Rich-X24 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("mistralai/Mistral-7B-Instruct-v0.1") model = PeftModel.from_pretrained(base_model, "Harishapc/Rich-X24") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4fa7a6c4d78e97c1c47b1d901c60a9fab64bdd249072797d8a21ef70b8c81512
- Size of remote file:
- 4.92 kB
- SHA256:
- acf02273b282c07ad25f44335ec10a65d8cb39be4b3a2b5931b652cd4459d4e2
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