Instructions to use Mr-FineTuner/without_exampleSentence with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Mr-FineTuner/without_exampleSentence with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Mr-FineTuner/without_exampleSentence", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Unsloth Studio new
How to use Mr-FineTuner/without_exampleSentence 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 Mr-FineTuner/without_exampleSentence 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 Mr-FineTuner/without_exampleSentence to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for Mr-FineTuner/without_exampleSentence to start chatting
Load model with FastModel
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="Mr-FineTuner/without_exampleSentence", max_seq_length=2048, )
- Xet hash:
- ad458e9d990bc3049fe98271b9c85197f50bc3f5042fa47a171ef1b9c4cf3983
- Size of remote file:
- 336 MB
- SHA256:
- 5b5787fca0b70fc6d36226e0ad2eae6d1338ee602701692f5bb818d2f98be3c4
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