Instructions to use MidhunKanadan/SentimentBERT-AIWriting with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MidhunKanadan/SentimentBERT-AIWriting with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="MidhunKanadan/SentimentBERT-AIWriting")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("MidhunKanadan/SentimentBERT-AIWriting") model = AutoModelForSequenceClassification.from_pretrained("MidhunKanadan/SentimentBERT-AIWriting") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 77916d46be239916f1bce74df453c18a25e7f02808f7985015c8111ce8f1c5dc
- Size of remote file:
- 4.86 kB
- SHA256:
- 6b063354e3e7fb1da061e08f93efaf51c9f42180927f5cfe73173af15c4b21b4
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