Text Classification
Transformers
PyTorch
TensorBoard
deberta-v2
Generated from Trainer
Eval Results (legacy)
Instructions to use Emanuel/twitter-emotion-deberta-v3-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Emanuel/twitter-emotion-deberta-v3-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Emanuel/twitter-emotion-deberta-v3-base")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Emanuel/twitter-emotion-deberta-v3-base") model = AutoModelForSequenceClassification.from_pretrained("Emanuel/twitter-emotion-deberta-v3-base") - Notebooks
- Google Colab
- Kaggle
| { | |
| "epoch": 6.0, | |
| "train_loss": 0.2273927664756775, | |
| "train_runtime": 627.7316, | |
| "train_samples": 16000, | |
| "train_samples_per_second": 152.932, | |
| "train_steps_per_second": 1.912 | |
| } |