Instructions to use mrmorenom/gpt-oss-5Class-Classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mrmorenom/gpt-oss-5Class-Classification with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("mrmorenom/gpt-oss-5Class-Classification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Studio
How to use mrmorenom/gpt-oss-5Class-Classification 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 mrmorenom/gpt-oss-5Class-Classification 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 mrmorenom/gpt-oss-5Class-Classification to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for mrmorenom/gpt-oss-5Class-Classification to start chatting
Load model with FastModel
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="mrmorenom/gpt-oss-5Class-Classification", max_seq_length=2048, )
- Xet hash:
- a26c6a946b7f9383853ace15a6480da601db719dc88cfe27e50d5683b9f3c5a3
- Size of remote file:
- 27.9 MB
- SHA256:
- 4fabe6647bcd739c43d45fa6f0dfc8d8d7006dcc45fe36511e8fda88b6c76a86
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