Instructions to use ReshmaUMLGraphMaster/Use_Class with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ReshmaUMLGraphMaster/Use_Class with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("ReshmaUMLGraphMaster/Use_Class", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Studio
How to use ReshmaUMLGraphMaster/Use_Class 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 ReshmaUMLGraphMaster/Use_Class 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 ReshmaUMLGraphMaster/Use_Class to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for ReshmaUMLGraphMaster/Use_Class to start chatting
Load model with FastModel
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="ReshmaUMLGraphMaster/Use_Class", max_seq_length=2048, )
- Xet hash:
- 98c1800b20922115abd00c8519a57bce42ab9c006ba5b17a1d6c903843455770
- Size of remote file:
- 162 MB
- SHA256:
- 34f289826016b746d7caf2822b7fff66eb97da0bd286532c0b78a9905e5f4e8c
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