Text Classification
Transformers
Safetensors
English
Chinese
qwen2
text-generation
Merge
mergekit
lazymergekit
huihui-ai/DeepSeek-R1-Distill-Qwen-7B-abliterated-v2
mobiuslabsgmbh/DeepSeek-R1-ReDistill-Qwen-7B-v1.1
Triangle104/DSR1-Distill-Qwen-7B-RP
deepseek-ai/DeepSeek-R1-Distill-Qwen-7B
text-embeddings-inference
Instructions to use ZeroXClem/Qwen2.5-7B-DistilPrism with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ZeroXClem/Qwen2.5-7B-DistilPrism with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ZeroXClem/Qwen2.5-7B-DistilPrism")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("ZeroXClem/Qwen2.5-7B-DistilPrism") model = AutoModelForCausalLM.from_pretrained("ZeroXClem/Qwen2.5-7B-DistilPrism") - Notebooks
- Google Colab
- Kaggle
Welcome to the community
The community tab is the place to discuss and collaborate with the HF community!