Text Classification
Transformers
Safetensors
English
qwen2
text-generation
code
qwen
openhusky-coder
text-embeddings-inference
Instructions to use CodeDevX/openhusky-coder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CodeDevX/openhusky-coder with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="CodeDevX/openhusky-coder")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("CodeDevX/openhusky-coder") model = AutoModelForCausalLM.from_pretrained("CodeDevX/openhusky-coder") - Notebooks
- Google Colab
- Kaggle
| license: mit | |
| datasets: | |
| - lazarus19/openhusky-coder | |
| language: | |
| - en | |
| base_model: | |
| - Qwen/Qwen2.5-Coder-7B-Instruct | |
| pipeline_tag: text-classification | |
| library_name: transformers | |
| tags: | |
| - code | |
| - qwen | |
| - openhusky-coder | |