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:
- 321ba911fe71021b3a1217f5e41a0c1993a3c29d9ee5d2fab1212ba3942f4760
- Size of remote file:
- 438 MB
- SHA256:
- 2e012b2aad3084ff65fd09cfaff08339ae0410ec10f76b40b6fd01a23c23bdd9
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