Instructions to use ashique/BanglaTraitBERT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ashique/BanglaTraitBERT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ashique/BanglaTraitBERT")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ashique/BanglaTraitBERT") model = AutoModelForSequenceClassification.from_pretrained("ashique/BanglaTraitBERT") - Notebooks
- Google Colab
- Kaggle
BanglaTraitBERT
This is a finetuned BanglaBERT (large) model trained on bangla social media texts for a classification task in context of Big Five Peronality Traits. The dataset that is used for finetuning can be found here.
Model Details
Achieved highest validation accuracy of 47.927%
- Downloads last month
- 3