Instructions to use Zangs3011/mistral_7b_2EPOCH_DolphinCoder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Zangs3011/mistral_7b_2EPOCH_DolphinCoder with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("mistralai/Mistral-7B-v0.1") model = PeftModel.from_pretrained(base_model, "Zangs3011/mistral_7b_2EPOCH_DolphinCoder") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- dfb237320dd81fdd310c88da329d7dbdacc6022862ccd1bb6c8ad0261da2195a
- Size of remote file:
- 109 MB
- SHA256:
- 5986e24f73b748af4d9718d5a44879581f9d08673d6a02894415b3902e0ed475
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