Text Classification
Transformers
PyTorch
bert
Generated from Trainer
sibyl
Eval Results (legacy)
text-embeddings-inference
Instructions to use fabriceyhc/bert-base-uncased-amazon_polarity with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use fabriceyhc/bert-base-uncased-amazon_polarity with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="fabriceyhc/bert-base-uncased-amazon_polarity")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("fabriceyhc/bert-base-uncased-amazon_polarity") model = AutoModelForSequenceClassification.from_pretrained("fabriceyhc/bert-base-uncased-amazon_polarity", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Ctrl+K
autoevaluator HF Staff
Add evaluation results on the amazon_polarity config and test split of amazon_polarity (#2)
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