Instructions to use dynamofl-sandbox/pii-roberta-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dynamofl-sandbox/pii-roberta-large with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="dynamofl-sandbox/pii-roberta-large")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("dynamofl-sandbox/pii-roberta-large") model = AutoModelForTokenClassification.from_pretrained("dynamofl-sandbox/pii-roberta-large") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9176c69d765823deb44586b4e0deee4abbef503e601725aa68a5d7cda8a1f8f2
- Size of remote file:
- 1.42 GB
- SHA256:
- 0eaf2c0393028299192b200ed9c4ce646f9b7acf8a8562b38bde472ae2c914a4
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