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
- Xet hash:
- de453bd90d4437b60ed277e4b3d393cf91bc01079b25bb2e713c95c7d29a41d2
- Size of remote file:
- 433 MB
- SHA256:
- f918132dd868b55f6641a1b7a176b4282c07629ea319d05ad2e46b58c57bac9d
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