Instructions to use nhungphammmmm/1d572d52-d72b-445d-abc0-9b10b623991d with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use nhungphammmmm/1d572d52-d72b-445d-abc0-9b10b623991d with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("deepseek-ai/deepseek-coder-6.7b-instruct") model = PeftModel.from_pretrained(base_model, "nhungphammmmm/1d572d52-d72b-445d-abc0-9b10b623991d") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 077740fdede9a7f8695acec41e36b3a064341f61ba67cc11e04655ea88b35b78
- Size of remote file:
- 80.1 MB
- SHA256:
- bbac6078a9bb77725e331a91589d56cf9f546f0dc10fddaf8efe140f61a11dcf
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