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, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("real-jiakai/DeepSeek-R1-Distill-Qwen-7B-News-Classifier") model = AutoModelForCausalLM.from_pretrained("real-jiakai/DeepSeek-R1-Distill-Qwen-7B-News-Classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "bos_token": { | |
| "content": "<|begin▁of▁sentence|>", | |
| "lstrip": false, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false | |
| }, | |
| "eos_token": { | |
| "content": "<|end▁of▁sentence|>", | |
| "lstrip": false, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false | |
| }, | |
| "pad_token": { | |
| "content": "<|end▁of▁sentence|>", | |
| "lstrip": false, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false | |
| } | |
| } | |