Text Classification
Transformers
PyTorch
TensorBoard
Safetensors
distilbert
text-embeddings-inference
Instructions to use JoeJYu/finetuning-sentiment-model-3000-samples-Task2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use JoeJYu/finetuning-sentiment-model-3000-samples-Task2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="JoeJYu/finetuning-sentiment-model-3000-samples-Task2")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("JoeJYu/finetuning-sentiment-model-3000-samples-Task2") model = AutoModelForSequenceClassification.from_pretrained("JoeJYu/finetuning-sentiment-model-3000-samples-Task2") - Notebooks
- Google Colab
- Kaggle