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:
- c2fba606d2395590f92610c5e48ef6797403377429b136ed0b2a2a2939e3ca8b
- Size of remote file:
- 268 MB
- SHA256:
- 2d93610743a12db5d64ec4f062dd4fd1a913c4fae08c07c30fcc19ec9173b7c1
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