Instructions to use mmillet/rubert-tiny2_finetuned_emotion_experiment_augmented_anger_fear_no_punct 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_augmented_anger_fear_no_punct 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_augmented_anger_fear_no_punct")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("mmillet/rubert-tiny2_finetuned_emotion_experiment_augmented_anger_fear_no_punct") model = AutoModelForSequenceClassification.from_pretrained("mmillet/rubert-tiny2_finetuned_emotion_experiment_augmented_anger_fear_no_punct", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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