Instructions to use ShihHsuanChen/deberta-v3-emotion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ShihHsuanChen/deberta-v3-emotion with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ShihHsuanChen/deberta-v3-emotion")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ShihHsuanChen/deberta-v3-emotion") model = AutoModelForSequenceClassification.from_pretrained("ShihHsuanChen/deberta-v3-emotion", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| {"seed": 567, "ddp": true, "learning_rate": 5e-05, "train_batch_size": 80, "valid_batch_size": 80, "lr_scheduler_type": "linear", "num_epochs": 20, "num_warmup_steps": 125, "max_train_steps": null, "max_valid_steps": null, "max_length": 72} |