Instructions to use Etelis/Sentiment140_ELECTRA_5E with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Etelis/Sentiment140_ELECTRA_5E with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Etelis/Sentiment140_ELECTRA_5E")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Etelis/Sentiment140_ELECTRA_5E") model = AutoModelForSequenceClassification.from_pretrained("Etelis/Sentiment140_ELECTRA_5E") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7fda6ada45f0da419a77d4effa1ac3a0fb3e2e75acf5305cd2b291f85b67dd14
- Size of remote file:
- 438 MB
- SHA256:
- 5fc1d834c0f24b1f19915774f2bf1667ec674bd14cf1ec628b1c6c146da38fa1
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