Instructions to use WaiLwin/s-risk-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WaiLwin/s-risk-model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="WaiLwin/s-risk-model")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("WaiLwin/s-risk-model") model = AutoModelForSequenceClassification.from_pretrained("WaiLwin/s-risk-model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e5a3c4cb373ebfd8df5d1d1a370c3cada5cb52b6b0adf19283abb8345b4aa35d
- Size of remote file:
- 438 MB
- SHA256:
- 1bd13cfb148d94238229ebedde161a48ca09266af856e2146b51365c6f4b6e4f
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