Instructions to use Yuezhangjoslin/output with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Yuezhangjoslin/output with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Yuezhangjoslin/output")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Yuezhangjoslin/output") model = AutoModelForSequenceClassification.from_pretrained("Yuezhangjoslin/output", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2b25d4b0f507ae91fa1f2476f43031c813bdf2781b821c6e1567ffc21918a4af
- Size of remote file:
- 4.73 kB
- SHA256:
- 59934fc5ce2344cb747ac4c4d4249cffd527530d985961dabc323f037e05fc33
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