Instructions to use KindLab/roberta-deid with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use KindLab/roberta-deid with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="KindLab/roberta-deid")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("KindLab/roberta-deid") model = AutoModelForTokenClassification.from_pretrained("KindLab/roberta-deid", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2dfb1e9de5458aae85a3a9765fadaea5e99c6fc8bfec387f07aa41068ba22647
- Size of remote file:
- 496 MB
- SHA256:
- 9f18e11350db8603e42c3f9c0a376c444ef781a5be5518360cf08767da3cfad8
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