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
lazarusrolando commited on
Create README.md
Browse files
README.md
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---
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license: mit
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datasets:
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- lazarus19/openhusky-coder
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language:
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- en
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base_model:
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- Qwen/Qwen2.5-Coder-7B-Instruct
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pipeline_tag: text-classification
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library_name: transformers
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tags:
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- code
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- qwen
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- openhusky-coder
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---
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