Text Classification
Transformers
PyTorch
distilbert
Generated from Trainer
Eval Results (legacy)
text-embeddings-inference
Instructions to use ttwj-sutd/finetuning-sentiment-model-3000-samples-5pm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ttwj-sutd/finetuning-sentiment-model-3000-samples-5pm with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ttwj-sutd/finetuning-sentiment-model-3000-samples-5pm")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ttwj-sutd/finetuning-sentiment-model-3000-samples-5pm") model = AutoModelForSequenceClassification.from_pretrained("ttwj-sutd/finetuning-sentiment-model-3000-samples-5pm") - Notebooks
- Google Colab
- Kaggle
Ctrl+K