Instructions to use FrederickSundeep/nova2.5-14b-code-adapter with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FrederickSundeep/nova2.5-14b-code-adapter with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("FrederickSundeep/nova2.5-14b-code-adapter", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Unsloth Studio new
How to use FrederickSundeep/nova2.5-14b-code-adapter 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 FrederickSundeep/nova2.5-14b-code-adapter 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 FrederickSundeep/nova2.5-14b-code-adapter to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for FrederickSundeep/nova2.5-14b-code-adapter to start chatting
Load model with FastModel
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="FrederickSundeep/nova2.5-14b-code-adapter", max_seq_length=2048, )
- Xet hash:
- b2dbda4bc752ee2b66c82fc8331fa345d0902ace56242889f8ba80a62eddd99a
- Size of remote file:
- 5.84 kB
- SHA256:
- d443a698d9f139501f7d642d34f04c39306eb25a4ac1fe2a69b148e7acb053af
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