Instructions to use Mr-Vicky-01/T5-data-reasoning with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Mr-Vicky-01/T5-data-reasoning with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Mr-Vicky-01/T5-data-reasoning") model = AutoModelForSeq2SeqLM.from_pretrained("Mr-Vicky-01/T5-data-reasoning") - Notebooks
- Google Colab
- Kaggle
Update README.md
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README.md
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@@ -30,7 +30,7 @@ def generate_random_data():
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"Compliance": random.randint(0, 200),
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"Malware": random.randint(0, 225)
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},
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"
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"Scans": round(random.uniform(-100, +100), 2),
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"Lines_of_Code": round(random.uniform(-100, -100), 2),
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"Vulnerabilities": round(random.uniform(-100, -100), 2),
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"Compliance": random.randint(0, 200),
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"Malware": random.randint(0, 225)
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},
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" Trend_percentages_compare_with_last_week": {
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"Scans": round(random.uniform(-100, +100), 2),
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"Lines_of_Code": round(random.uniform(-100, -100), 2),
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"Vulnerabilities": round(random.uniform(-100, -100), 2),
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