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:
- 61762145c55355b969b2d566e2c4f59d3af00bc737c4a10cfe7c3ae376e3716b
- Size of remote file:
- 2.86 kB
- SHA256:
- 2e104e84315b5fce912e49f666d7d75b959181aefaa22fd9a1c76392927e02dc
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