Instructions to use sameerreddy-predibase/test-cls-adapter with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use sameerreddy-predibase/test-cls-adapter with PEFT:
from peft import PeftModel from transformers import AutoModelForSequenceClassification base_model = AutoModelForSequenceClassification.from_pretrained("Qwen/Qwen3-0.6B") model = PeftModel.from_pretrained(base_model, "sameerreddy-predibase/test-cls-adapter") - Transformers
How to use sameerreddy-predibase/test-cls-adapter with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("sameerreddy-predibase/test-cls-adapter", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 15675fe95d6f37ba5b16365e92a5350f5a9f80f87a0754258dd2f60df14589eb
- Size of remote file:
- 11.4 MB
- SHA256:
- dc68ef9483e17b8453514159d4e669d963d343267a9407d51bfe1a5c3d81e7a3
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