Instructions to use rtweera/v0.27.0_finetuning with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rtweera/v0.27.0_finetuning with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("rtweera/v0.27.0_finetuning", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Studio
How to use rtweera/v0.27.0_finetuning 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 rtweera/v0.27.0_finetuning 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 rtweera/v0.27.0_finetuning to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for rtweera/v0.27.0_finetuning to start chatting
Load model with FastModel
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="rtweera/v0.27.0_finetuning", max_seq_length=2048, )
- Xet hash:
- 78fea9b5b1482bdd33e6a687e53d2fee3c93518b6f04de2993ef58eb4123e6fb
- Size of remote file:
- 6.1 kB
- SHA256:
- fab915e4855402ba7df71ec8ed9020b5ad7594d70ee26064673cb6c5b9e6fdd1
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