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:
- 0a8c4801fc49db83e6124d1209098ee72ed5bdf29d7dc894c0a249a101df0e33
- Size of remote file:
- 7.29 kB
- SHA256:
- c130579a2034ed763c63e140e95fc2a14b4b5116856dd3e2208548bf39c063dd
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