Text Classification
Transformers
PyTorch
TensorBoard
bert
Generated from Trainer
text-embeddings-inference
Instructions to use mmillet/rubert-tiny2_finetuned_emotion_experiment_modified_CE_LOSS_resampling with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mmillet/rubert-tiny2_finetuned_emotion_experiment_modified_CE_LOSS_resampling with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="mmillet/rubert-tiny2_finetuned_emotion_experiment_modified_CE_LOSS_resampling")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("mmillet/rubert-tiny2_finetuned_emotion_experiment_modified_CE_LOSS_resampling") model = AutoModelForSequenceClassification.from_pretrained("mmillet/rubert-tiny2_finetuned_emotion_experiment_modified_CE_LOSS_resampling") - Notebooks
- Google Colab
- Kaggle