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
- Xet hash:
- 0b69999a6716d63999146f0323d44adc77a4136c2f4fee86d4140c35f8b38db9
- Size of remote file:
- 1.09 GB
- SHA256:
- 5aa6e5cbe642377fd441fb4e60e83cca96b2bcd9820e245b9ea06d94653f17f2
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