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:
- b9b8dfe059ae885b3332a9368c4f6bc4ada8574f563d54a55c8db66b195d0bd0
- Size of remote file:
- 438 MB
- SHA256:
- 274161ea844abcd891818eca17213a5978132fb695b75b23ea70f33ac49db6f2
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