Instructions to use Vijayendra/DeepSeek-Qwen2.5-14B-DeepThinker-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Vijayendra/DeepSeek-Qwen2.5-14B-DeepThinker-v2 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("deepseek-ai/DeepSeek-R1-Distill-Qwen-14B") model = PeftModel.from_pretrained(base_model, "Vijayendra/DeepSeek-Qwen2.5-14B-DeepThinker-v2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ac9aa2f2b213a03b2ad7ea33a407860de3689ea0ee825c910ee5a227c5cf838a
- Size of remote file:
- 11.4 MB
- SHA256:
- 1fd14282953cbffb08cd3aaad97b7372cbebc29a261979730791da606d74feae
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