Instructions to use Eleven/bart-large-mnli-finetuned-emotion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Eleven/bart-large-mnli-finetuned-emotion with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Eleven/bart-large-mnli-finetuned-emotion")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Eleven/bart-large-mnli-finetuned-emotion") model = AutoModelForSequenceClassification.from_pretrained("Eleven/bart-large-mnli-finetuned-emotion") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d54c7ef3b08c556a6655283ea9b5f36ac28f7d533458b9c582f666e6416ef9ef
- Size of remote file:
- 1.63 GB
- SHA256:
- 5273c4e59e7f9ef6b177b6c58bedd07aaa0262eff262ba342caaa0ffa0446d37
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