Text Classification
Transformers
PyTorch
TensorBoard
distilbert
Generated from Trainer
Eval Results (legacy)
text-embeddings-inference
Instructions to use Vinayak2104/finetuning-emotion-model2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Vinayak2104/finetuning-emotion-model2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Vinayak2104/finetuning-emotion-model2")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Vinayak2104/finetuning-emotion-model2") model = AutoModelForSequenceClassification.from_pretrained("Vinayak2104/finetuning-emotion-model2") - Notebooks
- Google Colab
- Kaggle
Ctrl+K