Instructions to use Shamsa12/SLM_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Shamsa12/SLM_model with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/deepseek-r1-distill-qwen-1.5b-unsloth-bnb-4bit") model = PeftModel.from_pretrained(base_model, "Shamsa12/SLM_model") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- af1e26c7605727a32aea6236d2563f3308728fb6f19c41836b5e779aabcfb65f
- Size of remote file:
- 4.39 MB
- SHA256:
- 7bbf7794bfb162a69470f71ed6d7fbb6cbbdfcaaabe63c2aa4c8147058fc0691
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