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:
- 0fceba54209f79a8dd6d318b734aef8aea33968d54d5eedc91dadcab2396c0d8
- Size of remote file:
- 18.5 MB
- SHA256:
- 1ec1d00797b3e17106663058a3a6a9c64d00d4b0fe645e8c28331a55f8373fe3
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