Instructions to use tttx/model_step2_3augs_buffer_short with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use tttx/model_step2_3augs_buffer_short with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("deepseek-ai/DeepSeek-R1-Distill-Qwen-32B") model = PeftModel.from_pretrained(base_model, "tttx/model_step2_3augs_buffer_short") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 82fa60658ea1463674a135e3ac85d2dc0bfca9174f924b9b7f2cafc33bf4c32c
- Size of remote file:
- 11.4 MB
- SHA256:
- e20ddafc659ba90242154b55275402edeca0715e5dbb30f56815a4ce081f4893
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