Instructions to use Mattia2700/bigbird-roberta-base-goemotions-ekman-multiclass with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Mattia2700/bigbird-roberta-base-goemotions-ekman-multiclass with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Mattia2700/bigbird-roberta-base-goemotions-ekman-multiclass")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Mattia2700/bigbird-roberta-base-goemotions-ekman-multiclass") model = AutoModelForSequenceClassification.from_pretrained("Mattia2700/bigbird-roberta-base-goemotions-ekman-multiclass", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a067cf88aa04e561494474431a0bc15a2f397981d54c185239a684a8487731c7
- Size of remote file:
- 512 MB
- SHA256:
- ef68b46212accb668dd42d742d5cff0d277f588cf4fcc0e20ec09baee642365f
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