Instructions to use nasa-impact/division-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nasa-impact/division-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="nasa-impact/division-classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("nasa-impact/division-classifier") model = AutoModelForSequenceClassification.from_pretrained("nasa-impact/division-classifier") - Notebooks
- Google Colab
- Kaggle
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README.md
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base_model:
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- nasa-impact/nasa-smd-ibm-v0.1
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- text-classification
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- single-label
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---
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# Division Classification Model
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base_model:
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- nasa-impact/nasa-smd-ibm-v0.1
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tags:
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- single-label
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pipeline_tag: text-classification
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library_name: transformers
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---
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# Division Classification Model
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