Text Classification
Transformers
Safetensors
French
English
qwen3
green-it
sustainability
numerique-responsable
lora
text-embeddings-inference
Instructions to use KaRn1zC/greentech-greenit-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use KaRn1zC/greentech-greenit-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="KaRn1zC/greentech-greenit-classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("KaRn1zC/greentech-greenit-classifier") model = AutoModelForSequenceClassification.from_pretrained("KaRn1zC/greentech-greenit-classifier") - Notebooks
- Google Colab
- Kaggle
| { | |
| "threshold": 0.15500000000000003, | |
| "metric": "mcc", | |
| "value": 0.6238392218616574 | |
| } |