Text Classification
Transformers
PyTorch
TensorBoard
bert
Generated from Trainer
text-embeddings-inference
Instructions to use jonathanybema/twitter-bert-base-sentiment with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jonathanybema/twitter-bert-base-sentiment with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="jonathanybema/twitter-bert-base-sentiment")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("jonathanybema/twitter-bert-base-sentiment") model = AutoModelForSequenceClassification.from_pretrained("jonathanybema/twitter-bert-base-sentiment") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 792a57fe3223161bb7ba142613984c201ce787321c74f174f187b9a2d011c101
- Size of remote file:
- 438 MB
- SHA256:
- d16b9630c4969efddca3d265210f7f1e93eb4f380fae0bd19fc8c93dda36a399
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