Text Classification
Transformers
PyTorch
distilbert
health
tweet
Eval Results (legacy)
text-embeddings-inference
Instructions to use dibsondivya/distilbert-phmtweets-sutd with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dibsondivya/distilbert-phmtweets-sutd with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="dibsondivya/distilbert-phmtweets-sutd")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("dibsondivya/distilbert-phmtweets-sutd") model = AutoModelForSequenceClassification.from_pretrained("dibsondivya/distilbert-phmtweets-sutd") - Notebooks
- Google Colab
- Kaggle
Ctrl+K