Text Classification
Transformers
Safetensors
qwen2
text-generation
llama-factory
lora
news-classification
chinese
deepseek-r1
qwen
text-embeddings-inference
Instructions to use real-jiakai/DeepSeek-R1-Distill-Qwen-7B-News-Classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use real-jiakai/DeepSeek-R1-Distill-Qwen-7B-News-Classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="real-jiakai/DeepSeek-R1-Distill-Qwen-7B-News-Classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForMultimodalLM tokenizer = AutoTokenizer.from_pretrained("real-jiakai/DeepSeek-R1-Distill-Qwen-7B-News-Classifier") model = AutoModelForMultimodalLM.from_pretrained("real-jiakai/DeepSeek-R1-Distill-Qwen-7B-News-Classifier") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cdc0e16dc597cc8c1521847779b5face7075c56212a1b80826a424181a2b46c1
- Size of remote file:
- 1.09 GB
- SHA256:
- 7946740ab848b4a02904f05bff81211bf9600fc20bfad39bbcc8d1703a40ce1c
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