Instructions to use dhghn/peft-starcoder-lora-a100 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use dhghn/peft-starcoder-lora-a100 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("facebook/incoder-6B") model = PeftModel.from_pretrained(base_model, "dhghn/peft-starcoder-lora-a100") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6f39496b256321a4ae82d5e899c399558641afd29a2a4b870bcc88137c8da420
- Size of remote file:
- 5.37 kB
- SHA256:
- 0d7a9871bbf1644da72c409b7199c81f6e1045239e2d4b0c18ce2b0bcfcf63d2
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