Text Classification
PEFT
Safetensors
Transformers
English
lora
audio-question-answering
correctness-assessment
orca
Instructions to use BUT-FIT/orca-gemma-3-4b-it-multinomial with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use BUT-FIT/orca-gemma-3-4b-it-multinomial with PEFT:
Task type is invalid.
- Transformers
How to use BUT-FIT/orca-gemma-3-4b-it-multinomial with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="BUT-FIT/orca-gemma-3-4b-it-multinomial")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("BUT-FIT/orca-gemma-3-4b-it-multinomial", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c4c7aa84fb94a696d78f2bde62590a25b6741b7365ed842f9310b5dcab71d95d
- Size of remote file:
- 33.4 MB
- SHA256:
- 4667f2089529e8e7657cfb6d1c19910ae71ff5f28aa7ab2ff2763330affad795
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