Instructions to use Shaer-AI/ARBERT-base-submeter-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Shaer-AI/ARBERT-base-submeter-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Shaer-AI/ARBERT-base-submeter-classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Shaer-AI/ARBERT-base-submeter-classifier") model = AutoModelForSequenceClassification.from_pretrained("Shaer-AI/ARBERT-base-submeter-classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 240 Bytes
8185c63 | 1 2 3 4 5 6 7 8 9 | {
"accuracy": 0.9707783783783783,
"macro_f1": 0.5994379802651545,
"weighted_f1": 0.9652989680004611,
"validation_rows": 370000,
"epochs": 3,
"effective_batch_size": 256,
"evaluated_at_utc": "2026-07-30T08:30:01.640117+00:00"
} |