Instructions to use vargr/yt-openloop with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vargr/yt-openloop with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="vargr/yt-openloop")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("vargr/yt-openloop") model = AutoModelForSequenceClassification.from_pretrained("vargr/yt-openloop", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9fbcc41bdf8241133fbf59c7f2650d5bd08076924c0f957e679f39ce16b3d381
- Size of remote file:
- 3.9 kB
- SHA256:
- 89c8dbae19daae7afff11d7ab92278d74d305bd94a38847b7c115ddb10e91b64
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