Instructions to use AJCThree/Qwen2.5-Coder-32B-Instruct-openvino-4bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AJCThree/Qwen2.5-Coder-32B-Instruct-openvino-4bit with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AJCThree/Qwen2.5-Coder-32B-Instruct-openvino-4bit")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("AJCThree/Qwen2.5-Coder-32B-Instruct-openvino-4bit") model = AutoModelForCausalLM.from_pretrained("AJCThree/Qwen2.5-Coder-32B-Instruct-openvino-4bit", device_map="auto") - Notebooks
- Google Colab
- Kaggle
README.md exists but content is empty.
- Downloads last month
- 44
Model tree for AJCThree/Qwen2.5-Coder-32B-Instruct-openvino-4bit
Base model
Qwen/Qwen2.5-32B Finetuned
Qwen/Qwen2.5-Coder-32B Finetuned
Qwen/Qwen2.5-Coder-32B-Instruct