Question Answering
Transformers
Safetensors
Indonesian
English
qwen2
text-generation
unsloth
text-generation-inference
4-bit precision
bitsandbytes
Instructions to use joomhadi/joomha-qwen2.5-coder-3b-repo01 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use joomhadi/joomha-qwen2.5-coder-3b-repo01 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="joomhadi/joomha-qwen2.5-coder-3b-repo01")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("joomhadi/joomha-qwen2.5-coder-3b-repo01") model = AutoModelForCausalLM.from_pretrained("joomhadi/joomha-qwen2.5-coder-3b-repo01", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Studio
How to use joomhadi/joomha-qwen2.5-coder-3b-repo01 with Unsloth Studio:
Install Unsloth Studio (macOS, Linux, WSL)
curl -fsSL https://unsloth.ai/install.sh | sh # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for joomhadi/joomha-qwen2.5-coder-3b-repo01 to start chatting
Install Unsloth Studio (Windows)
irm https://unsloth.ai/install.ps1 | iex # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for joomhadi/joomha-qwen2.5-coder-3b-repo01 to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for joomhadi/joomha-qwen2.5-coder-3b-repo01 to start chatting
Load model with FastModel
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="joomhadi/joomha-qwen2.5-coder-3b-repo01", max_seq_length=2048, )
- Xet hash:
- fc23b0c3ff41a8a1324c8565bce595fe11422393117c438758cc6fcea9be9541
- Size of remote file:
- 11.4 MB
- SHA256:
- bd5948af71b4f56cf697f7580814c7ce8b80595ef985544efcacf716126a2e31
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