Instructions to use hnzen/DeepSeek-R1_Qwen14B-X-Sentiment-COT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hnzen/DeepSeek-R1_Qwen14B-X-Sentiment-COT with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("hnzen/DeepSeek-R1_Qwen14B-X-Sentiment-COT", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
metadata
base_model: unsloth/DeepSeek-R1-Distill-Qwen-14B-unsloth-bnb-4bit
tags:
- text-generation-inference
- transformers
- unsloth
- qwen2
- trl
license: apache-2.0
language:
- en
Uploaded model
- Developed by: hnzen
- License: apache-2.0
- Finetuned from model : unsloth/DeepSeek-R1-Distill-Qwen-14B-unsloth-bnb-4bit
This qwen2 model was trained 2x faster with Unsloth and Huggingface's TRL library.
