Text Classification
Transformers
TensorBoard
Safetensors
bert
Trained with AutoTrain
text-embeddings-inference
Instructions to use Noor22Tak/autotrain-8hhp1-f1j5d with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Noor22Tak/autotrain-8hhp1-f1j5d with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Noor22Tak/autotrain-8hhp1-f1j5d")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Noor22Tak/autotrain-8hhp1-f1j5d") model = AutoModelForSequenceClassification.from_pretrained("Noor22Tak/autotrain-8hhp1-f1j5d") - Notebooks
- Google Colab
- Kaggle
| library_name: transformers | |
| tags: | |
| - autotrain | |
| - text-classification | |
| base_model: aubmindlab/bert-base-arabert | |
| widget: | |
| - text: "I love AutoTrain" | |
| # Model Trained Using AutoTrain * | |
| - Problem type: Text Classification | |
| ## Validation Metrics | |
| loss: 5.198339931666851e-05 | |
| f1: 1.0 | |
| precision: 1.0 | |
| recall: 1.0 | |
| auc: 1.0 | |
| accuracy: 1.0 | |