Instructions to use Tippawan/hl-2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Tippawan/hl-2 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Tippawan/hl-2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Studio
How to use Tippawan/hl-2 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 Tippawan/hl-2 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 Tippawan/hl-2 to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for Tippawan/hl-2 to start chatting
Load model with FastModel
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="Tippawan/hl-2", max_seq_length=2048, )
- Xet hash:
- 0d7bbacccc29becf80e94a67b4e18f6304f8b868636faa82b22bd53558f9f790
- Size of remote file:
- 780 kB
- SHA256:
- 4d88bdadaa2a065aa7c6e18a4b5999ce4c76cec14d9fea882102e7b4931d7ef0
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