Instructions to use hvbhanot/qwen2.5-coder-14b-instruct-Updated with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hvbhanot/qwen2.5-coder-14b-instruct-Updated with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("hvbhanot/qwen2.5-coder-14b-instruct-Updated", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Studio
How to use hvbhanot/qwen2.5-coder-14b-instruct-Updated 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 hvbhanot/qwen2.5-coder-14b-instruct-Updated 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 hvbhanot/qwen2.5-coder-14b-instruct-Updated to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for hvbhanot/qwen2.5-coder-14b-instruct-Updated to start chatting
Load model with FastModel
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="hvbhanot/qwen2.5-coder-14b-instruct-Updated", max_seq_length=2048, )
File size: 239 Bytes
205d8d6 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 | {
"do_sample": true,
"eos_token_id": [
151645,
151643
],
"max_length": 32768,
"pad_token_id": 151665,
"repetition_penalty": 1.05,
"temperature": 0.7,
"top_k": 20,
"top_p": 0.8,
"transformers_version": "5.5.0"
}
|