Instructions to use datlaaaaaaa/933a6fa4-7a84-4b0a-ab39-e43d04a0f8f2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use datlaaaaaaa/933a6fa4-7a84-4b0a-ab39-e43d04a0f8f2 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Qwen2.5-Coder-1.5B-Instruct") model = PeftModel.from_pretrained(base_model, "datlaaaaaaa/933a6fa4-7a84-4b0a-ab39-e43d04a0f8f2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cc54b5d766d35e993df0534c360eef7dfeb3783926de1f530a7f6de4af4439b3
- Size of remote file:
- 37 MB
- SHA256:
- a30b56302db0c58d72ce94de9af64dec2381d5ed1a4e53e626b432bcc13146e3
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