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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
metadata
language:
- en
license: mit
tags:
- code
datasets:
- andythetechnerd03/AI-human-text
metrics:
- accuracy
- f1
- recall
- precision
- roc_auc
pipeline_tag: text-classification