Text Classification
Transformers
Safetensors
English
qwen3
emotion-detection
text-embeddings-inference
4-bit precision
bitsandbytes
Instructions to use agk4444/aditya369 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use agk4444/aditya369 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="agk4444/aditya369")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("agk4444/aditya369") model = AutoModelForSequenceClassification.from_pretrained("agk4444/aditya369", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
29 days ago
-
Add copyright footer
Verified signatureb3ee141 -
Add AGK FIRE INC branding
Verified signature8346799 -
Fix README encoding (was stored as base64 text)
Verified signature18b8e9d -
Add model card: eval results, usage, per-class breakdown
Verified signature9bd3285 -
Upload folder using huggingface_hub
Verified signature50f101e -
initial commit
Verified signature009b64a