Instructions to use shivrajanand/temporaryupload with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use shivrajanand/temporaryupload with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("shivrajanand/temporaryupload", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Studio
How to use shivrajanand/temporaryupload 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 shivrajanand/temporaryupload 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 shivrajanand/temporaryupload to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for shivrajanand/temporaryupload to start chatting
Load model with FastModel
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="shivrajanand/temporaryupload", max_seq_length=2048, )
- Xet hash:
- 948d9e89c45f0287b60ab368bc5013e0827b60bc33f19842596cc05a026a4f17
- Size of remote file:
- 134 MB
- SHA256:
- f592c454b641ad92e8b5769abfda2696ef0304469ec20e4d9bdc1d390d7f4ba7
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