Text Classification
Transformers
Safetensors
English
bert
sentiment-analysis
multi-label
mental-health
text-embeddings-inference
Instructions to use Sharath45/MENTALBERT_MULTILABEL_CLASSIFICATION with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Sharath45/MENTALBERT_MULTILABEL_CLASSIFICATION with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Sharath45/MENTALBERT_MULTILABEL_CLASSIFICATION")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Sharath45/MENTALBERT_MULTILABEL_CLASSIFICATION") model = AutoModelForSequenceClassification.from_pretrained("Sharath45/MENTALBERT_MULTILABEL_CLASSIFICATION") - Notebooks
- Google Colab
- Kaggle
Ctrl+K