Instructions to use NCHS/SANDS with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use NCHS/SANDS with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="NCHS/SANDS")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("NCHS/SANDS") model = AutoModelForSequenceClassification.from_pretrained("NCHS/SANDS", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Update Readme with correct value for response
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README.md
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|sdfsdfa| 0.998| 0.000| 0.000| 0.000| 0.000|
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|idkkkkk| 0.002| 0.995| 0.001| 0.001| 0.001|
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|Because you asked| 0.001| 0.001| 0.
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|Necessity| 0.001| 0.001| 0.002| 0.980| 0.016|
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|My job went remote and I needed to take care of my kids| 0.000| 0.000| 0.000| 0.000| 1.000|
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|sdfsdfa| 0.998| 0.000| 0.000| 0.000| 0.000|
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|idkkkkk| 0.002| 0.995| 0.001| 0.001| 0.001|
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|Because you asked| 0.001| 0.001| 0.978| 0.006| 0.014|
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|Necessity| 0.001| 0.001| 0.002| 0.980| 0.016|
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|My job went remote and I needed to take care of my kids| 0.000| 0.000| 0.000| 0.000| 1.000|
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