Instructions to use thinkingface/deid_roberta_i2b2_q with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use thinkingface/deid_roberta_i2b2_q with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="thinkingface/deid_roberta_i2b2_q")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("thinkingface/deid_roberta_i2b2_q") model = AutoModelForTokenClassification.from_pretrained("thinkingface/deid_roberta_i2b2_q", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Upload model.onnx with huggingface_hub
Browse files- model.onnx +3 -0
model.onnx
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version https://git-lfs.github.com/spec/v1
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oid sha256:1c62d741500457a84a15d7b06e673cdbece4c7c80eeff08949fbaf2c2160a9f3
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size 1417979382
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