Instructions to use Gflorent/all-mpnet-base-v2__tweet_eval_emotion__classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Gflorent/all-mpnet-base-v2__tweet_eval_emotion__classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Gflorent/all-mpnet-base-v2__tweet_eval_emotion__classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Gflorent/all-mpnet-base-v2__tweet_eval_emotion__classifier") model = AutoModelForSequenceClassification.from_pretrained("Gflorent/all-mpnet-base-v2__tweet_eval_emotion__classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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