Instructions to use mdecot/RobotDocNLP with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mdecot/RobotDocNLP with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="mdecot/RobotDocNLP")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("mdecot/RobotDocNLP") model = AutoModelForTokenClassification.from_pretrained("mdecot/RobotDocNLP") - Notebooks
- Google Colab
- Kaggle
Update config.json
Browse files- config.json +1 -1
config.json
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@@ -11,7 +11,7 @@
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"id2label": {
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"0": "0",
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"1": "B-Age",
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-
"2": "
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"3": "B-Sex",
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"4": "I-Sex",
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"5": "B-Disease_disorder",
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"id2label": {
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"0": "0",
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"1": "B-Age",
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+
"2": "0",
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"3": "B-Sex",
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"4": "I-Sex",
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"5": "B-Disease_disorder",
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