Instructions to use ksang/Twitch-Maturity-Prediction with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ksang/Twitch-Maturity-Prediction with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ksang/Twitch-Maturity-Prediction")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ksang/Twitch-Maturity-Prediction") model = AutoModelForSequenceClassification.from_pretrained("ksang/Twitch-Maturity-Prediction") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 07bf0dcc080868c724d9c24d627e13acf9cce8dd6df23c40bdcdc7159ddd9258
- Size of remote file:
- 3.31 kB
- SHA256:
- 76a8e08db0b20d19aa5a00f37afb2fa75bbc32b7bc010828f79ac1517563ace2
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