Instructions to use Akchacha/task-4-Akchacha-task-4-deepseek-ai-DeepSeek-R1-Distill-Qwen-7B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Akchacha/task-4-Akchacha-task-4-deepseek-ai-DeepSeek-R1-Distill-Qwen-7B with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("deepseek-ai/DeepSeek-R1-Distill-Qwen-7B") model = PeftModel.from_pretrained(base_model, "Akchacha/task-4-Akchacha-task-4-deepseek-ai-DeepSeek-R1-Distill-Qwen-7B") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Akchacha/task-4-Akchacha-task-4-deepseek-ai-DeepSeek-R1-Distill-Qwen-7B: direct link, hf CLI and curl.
- Browser
- Download file 5.56 kB
-
https://huggingface.co/Akchacha/task-4-Akchacha-task-4-deepseek-ai-DeepSeek-R1-Distill-Qwen-7B/resolve/main/training_args.bin
- Command line
-
hf download hf://Akchacha/task-4-Akchacha-task-4-deepseek-ai-DeepSeek-R1-Distill-Qwen-7B/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Akchacha/task-4-Akchacha-task-4-deepseek-ai-DeepSeek-R1-Distill-Qwen-7B/resolve/main/training_args.bin
5.56 kB
- Xet hash:
- 6eaae8b98bd3fa6aef7cf0d63e3df13f81bde3b287ae7703bc4e4a4b65d3cf8d
- Size of remote file:
- 5.56 kB
- SHA256:
- 60c1db62553618470b7a2a41ac4ea1dd75943b3a199466d877f785a992c63c0f
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