Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
text-embeddings-inference
Instructions to use hebashakeel/bert-wellness-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hebashakeel/bert-wellness-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="hebashakeel/bert-wellness-classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("hebashakeel/bert-wellness-classifier") model = AutoModelForSequenceClassification.from_pretrained("hebashakeel/bert-wellness-classifier") - Notebooks
- Google Colab
- Kaggle
Ctrl+K
- Feb17_03-54-50_8dab684b9a4e
- Feb17_03-59-23_8dab684b9a4e
- Feb17_04-03-41_f7dacc966242
- Feb17_04-06-40_f7dacc966242
- Feb17_08-07-57_d68c514ae1af
- Feb17_08-09-50_d68c514ae1af
- Feb17_08-11-02_d68c514ae1af
- Feb17_08-12-14_d68c514ae1af
- Feb17_08-13-57_d68c514ae1af
- Feb17_08-17-09_d68c514ae1af
- Feb19_08-08-30_8e59040fe121
- Nov03_07-43-26_dcc4d17321e8