Text Classification
Transformers
Safetensors
English
bert
creative writing
original ip
text-embeddings-inference
Instructions to use niltheory/ExistenceTypesAnalysis with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use niltheory/ExistenceTypesAnalysis with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="niltheory/ExistenceTypesAnalysis")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("niltheory/ExistenceTypesAnalysis") model = AutoModelForSequenceClassification.from_pretrained("niltheory/ExistenceTypesAnalysis") - Notebooks
- Google Colab
- Kaggle
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license: cc-by-sa-4.0
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library_name: transformers
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tags:
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- original
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# Existence Analysis Model (EAM)
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license: cc-by-sa-4.0
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library_name: transformers
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tags:
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- creative writing
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- original ip
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# Existence Analysis Model (EAM)
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