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:
- 90fa35509e75b0e2eee1f5c1eba7e7c6506796fb0eb194335cd37322578ef86e
- Size of remote file:
- 3.39 kB
- SHA256:
- 2a0581f00540e3f1f40ef4deca88eb37dece88cd774b9fbf538c6d2b2139b96a
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