Instructions to use andythetechnerd03/BERT-tiny_AI-Human with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use andythetechnerd03/BERT-tiny_AI-Human with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="andythetechnerd03/BERT-tiny_AI-Human")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("andythetechnerd03/BERT-tiny_AI-Human") model = AutoModelForSequenceClassification.from_pretrained("andythetechnerd03/BERT-tiny_AI-Human") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 91afd4291147cb63e1d7d0ce5755c37ad65e3ee86d25fd04fc59e7881da05a8f
- Size of remote file:
- 17.5 MB
- SHA256:
- c5705069728d7ece85c0230a62e5ac9ca4470de2000d2264c6aca2edbadc0ae4
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