Instructions to use Fayaz/checkpoints with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Fayaz/checkpoints with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("deepseek-ai/DeepSeek-R1-Distill-Llama-8B") model = PeftModel.from_pretrained(base_model, "Fayaz/checkpoints") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8ce5b6b68a0a419365ccf2252f96e837271355729bf9f0480ca4392b9f2d538a
- Size of remote file:
- 17.2 MB
- SHA256:
- 6922bb175eb0386c5a5d8f835ace34a07a5e9dadb287fbce3e08680f996f140f
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