Feature Extraction
Transformers
Safetensors
multilingual
qwen3_5_text
qwen3.5
classification-backbone
text-classification
knowledge-distillation
model-compression
edge-ai
Instructions to use mp-juuuns/qwen35-standalone4l-classification-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mp-juuuns/qwen35-standalone4l-classification-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="mp-juuuns/qwen35-standalone4l-classification-base")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("mp-juuuns/qwen35-standalone4l-classification-base") model = AutoModel.from_pretrained("mp-juuuns/qwen35-standalone4l-classification-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 49 Bytes
9fc8c19 | 1 2 3 4 | torch>=2.4 transformers==5.13.0 safetensors>=0.4 |