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
Commit ·
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Parent(s): cdb57ac
update model card README.md
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README.md
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- Transformers 4.18.0
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- Pytorch 1.10.0+cu111
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- Datasets 2.
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- Tokenizers 0.
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- Transformers 4.18.0
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- Pytorch 1.10.0+cu111
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- Datasets 2.1.0
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- Tokenizers 0.12.1
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