Text Classification
Transformers
PyTorch
TensorBoard
roberta
Generated from Trainer
Eval Results (legacy)
Instructions to use Emanuel/bertweet-emotion-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Emanuel/bertweet-emotion-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Emanuel/bertweet-emotion-base")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Emanuel/bertweet-emotion-base") model = AutoModelForSequenceClassification.from_pretrained("Emanuel/bertweet-emotion-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 227abf7de91e915ae11c293c72535f1bd41345206dc3b77bf04fcb80e5fcc889
- Size of remote file:
- 540 MB
- SHA256:
- f1a9f9808030449b487677ad63ea7c93308570a0688e49dd98f3f42865b59f6e
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