Instructions to use baltop/cdp_400 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use baltop/cdp_400 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, "baltop/cdp_400") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e942cf394e9df833302cd43ec0f0aba6c152a0c48f2fec3b99a291f31f23843c
- Size of remote file:
- 85.7 MB
- SHA256:
- 28424f25422e0bf468f03592538acfce66716beeb7488e87eeaafff0d9a56d14
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