Instructions to use Frorozcol/results with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Frorozcol/results with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Frorozcol/results")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Frorozcol/results") model = AutoModelForSequenceClassification.from_pretrained("Frorozcol/results") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5039b0a314e5727bae2fa28776d01c015e4d8159804ebee91a73b5e7b9cd57b8
- Size of remote file:
- 3.9 kB
- SHA256:
- 69c74f0fea927ae5a6dd93c20442abe9cb0ec0c27b1feb0ae3d88288eefccf96
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