Text Classification
Transformers
PyTorch
TensorBoard
bert
Generated from Trainer
text-embeddings-inference
Instructions to use michaellutz/bert-finetuned-assertive-hillary with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use michaellutz/bert-finetuned-assertive-hillary with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="michaellutz/bert-finetuned-assertive-hillary")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("michaellutz/bert-finetuned-assertive-hillary") model = AutoModelForSequenceClassification.from_pretrained("michaellutz/bert-finetuned-assertive-hillary") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b93914e90c06a9dde2b9a28dc3411735a0595cc36665c483a8a38b0bcd30ddae
- Size of remote file:
- 3.06 kB
- SHA256:
- 1a24c5f6a3bafb86fa27bbdffe7b012d6adbd6317a74b7395d406d37e3d82464
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