Text Classification
PEFT
Safetensors
Transformers
qwen3
lora
text-embeddings-inference
4-bit precision
bitsandbytes
Instructions to use agk4444/aditya369-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use agk4444/aditya369-v2 with PEFT:
from peft import PeftModel from transformers import AutoModelForSequenceClassification base_model = AutoModelForSequenceClassification.from_pretrained("Qwen/Qwen3-4B") model = PeftModel.from_pretrained(base_model, "agk4444/aditya369-v2") - Transformers
How to use agk4444/aditya369-v2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="agk4444/aditya369-v2")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("agk4444/aditya369-v2") model = AutoModelForSequenceClassification.from_pretrained("agk4444/aditya369-v2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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