Instructions to use mikeee/gemma3-peft-multiclass with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use mikeee/gemma3-peft-multiclass with PEFT:
from peft import PeftModel from transformers import AutoModelForSequenceClassification base_model = AutoModelForSequenceClassification.from_pretrained("google/gemma-3-270m-it") model = PeftModel.from_pretrained(base_model, "mikeee/gemma3-peft-multiclass") - Transformers
How to use mikeee/gemma3-peft-multiclass with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("mikeee/gemma3-peft-multiclass", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 63464fbf162637a39fb31c36d142873e5ac3bd86fc1552c06496a8c8f36c644f
- Size of remote file:
- 5.84 kB
- SHA256:
- 7a715c4a6c45939b23622a35a1364b5119601f3b9edce9b31bd652ac302ce4df
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