Instructions to use developer-314e/result with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use developer-314e/result with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("developer-314e/result", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Studio
How to use developer-314e/result 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 developer-314e/result 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 developer-314e/result to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for developer-314e/result to start chatting
Load model with FastModel
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="developer-314e/result", max_seq_length=2048, )
- Xet hash:
- b582449ba03ea66c2428a0079e2cb73e318daa3388279c5e54034f8e82832da6
- Size of remote file:
- 816 MB
- SHA256:
- d7c6e60946115db086c62b78b6fb5e2751bca36c3fc390d2b12ee344b129cd16
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