Instructions to use rishieee/robertaCwTest with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rishieee/robertaCwTest with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="rishieee/robertaCwTest")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("rishieee/robertaCwTest") model = AutoModelForTokenClassification.from_pretrained("rishieee/robertaCwTest") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5695404f03cc473d8344aa670b6a47b09b00f97b731560508eda4b599981d2f5
- Size of remote file:
- 496 MB
- SHA256:
- a47f79602e9c60f102e1ff139ff29caf92065ff329a967650d433c2adf0520a5
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