Instructions to use bobbyw/llama_relationships_classifier_v40_smallinputchange with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bobbyw/llama_relationships_classifier_v40_smallinputchange with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("bobbyw/llama_relationships_classifier_v40_smallinputchange", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Studio
How to use bobbyw/llama_relationships_classifier_v40_smallinputchange 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 bobbyw/llama_relationships_classifier_v40_smallinputchange 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 bobbyw/llama_relationships_classifier_v40_smallinputchange to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for bobbyw/llama_relationships_classifier_v40_smallinputchange to start chatting
Load model with FastModel
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="bobbyw/llama_relationships_classifier_v40_smallinputchange", max_seq_length=2048, )
- Xet hash:
- 7f51727e1922da174e4448eb264aa6a185ea4f0c82d44ed17cf9a21a2f5801b2
- Size of remote file:
- 1.06 GB
- SHA256:
- 856f2c759a8b4a8ef3bd9d2ebcddf2a46315b8a135998e481dbedb57b068ac87
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