Instructions to use daxa-ai/pebblo-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use daxa-ai/pebblo-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="daxa-ai/pebblo-classifier")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("daxa-ai/pebblo-classifier") model = AutoModelForSequenceClassification.from_pretrained("daxa-ai/pebblo-classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Update config.json
Browse filesSETTLEMENT_AGREEMENT_AGREEMENT is converted to SETTLEMENT_AGREEMENT
- config.json +2 -2
config.json
CHANGED
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@@ -27,7 +27,7 @@
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"15": "PRICE_LIST_AGREEMENT",
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"16": "SECRET_SAUCE_AGREEMENT",
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"17": "SECURITY_BREACH_AGREEMENT",
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-
"18": "
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"19": "SEXUAL_HARRASSMENT_AGREEMENT",
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"20": "EMPLOYEE_AGREEMENT",
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"21": "ENTERPRISE_AGREEMENT"
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@@ -44,7 +44,7 @@
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"PRICE_LIST_AGREEMENT": 15,
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"SECRET_SAUCE_AGREEMENT": 16,
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"SECURITY_BREACH_AGREEMENT": 17,
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-
"
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"SEXUAL_HARRASSMENT_AGREEMENT": 19,
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"CUSTOMER_LIST_AGREEMENT": 2,
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"EMPLOYEE_AGREEMENT": 20,
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"15": "PRICE_LIST_AGREEMENT",
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"16": "SECRET_SAUCE_AGREEMENT",
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"17": "SECURITY_BREACH_AGREEMENT",
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+
"18": "SETTLEMENT_AGREEMENT",
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"19": "SEXUAL_HARRASSMENT_AGREEMENT",
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"20": "EMPLOYEE_AGREEMENT",
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"21": "ENTERPRISE_AGREEMENT"
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"PRICE_LIST_AGREEMENT": 15,
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"SECRET_SAUCE_AGREEMENT": 16,
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"SECURITY_BREACH_AGREEMENT": 17,
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+
"SETTLEMENT_AGREEMENT": 18,
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"SEXUAL_HARRASSMENT_AGREEMENT": 19,
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| 49 |
"CUSTOMER_LIST_AGREEMENT": 2,
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| 50 |
"EMPLOYEE_AGREEMENT": 20,
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