Text Classification
PEFT
Safetensors
Transformers
lora
sentiment-analysis
paladim
continual-learning
Instructions to use nickagge/paladin-improved with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use nickagge/paladin-improved with PEFT:
from peft import PeftModel from transformers import AutoModelForSequenceClassification base_model = AutoModelForSequenceClassification.from_pretrained("prajjwal1/bert-tiny") model = PeftModel.from_pretrained(base_model, "nickagge/paladin-improved") - Transformers
How to use nickagge/paladin-improved with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="nickagge/paladin-improved")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("nickagge/paladin-improved", dtype="auto") - Notebooks
- Google Colab
- Kaggle
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