Instructions to use Fidlobabovic/risk-error with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Fidlobabovic/risk-error with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Fidlobabovic/risk-error")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Fidlobabovic/risk-error") model = AutoModelForSequenceClassification.from_pretrained("Fidlobabovic/risk-error", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ce90910fa01273d876f33966020614d16944bc4a3714a928b7c40ded42bbf2b9
- Size of remote file:
- 139 kB
- SHA256:
- 6e782c37a35a6b4215ac2b59cc1f6765cfc1fcc0672e2ac61442fae499814a7d
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