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")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("CodeDevX/openhusky-coder") model = AutoModelForCausalLM.from_pretrained("CodeDevX/openhusky-coder", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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Download README.md from CodeDevX/openhusky-coder: direct link, hf CLI and curl.
- Browser
- Download file 217 Bytes
-
https://huggingface.co/CodeDevX/openhusky-coder/resolve/main/README.md
- Command line
-
hf download hf://CodeDevX/openhusky-coder/README.md
-
curl -L -o README.md https://huggingface.co/CodeDevX/openhusky-coder/resolve/main/README.md
217 Bytes
metadata
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