Instructions to use Etelis/amazonPolarity_ELECTRA_5E with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Etelis/amazonPolarity_ELECTRA_5E with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Etelis/amazonPolarity_ELECTRA_5E")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Etelis/amazonPolarity_ELECTRA_5E") model = AutoModelForSequenceClassification.from_pretrained("Etelis/amazonPolarity_ELECTRA_5E", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f562c1071d06a12380b0086c5ba36cd3e0abdb04ae0a17fd9650f32fa36a442b
- Size of remote file:
- 438 MB
- SHA256:
- bcf050217a9d65d7566881ac1eb9ff8eeea480c64b11cc78d475c8a3ed1e70ed
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