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
metadata
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