Instructions to use ankadev/bioai2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ankadev/bioai2 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("ankadev/bioai2", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Studio
How to use ankadev/bioai2 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 ankadev/bioai2 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 ankadev/bioai2 to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for ankadev/bioai2 to start chatting
Load model with FastModel
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="ankadev/bioai2", max_seq_length=2048, )
- Xet hash:
- 3d9b9a7a25c458449c02d5bce1661e712e51d947ef9fd6015e5ec4c507b11681
- Size of remote file:
- 168 MB
- SHA256:
- 007ef2407d42e761d420d03613faadb9887ed8c5d303bdb08cac9acd03fbe868
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