Text Classification
Transformers
Safetensors
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use Ver1Sus/test-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Ver1Sus/test-model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Ver1Sus/test-model")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Ver1Sus/test-model") model = AutoModelForSequenceClassification.from_pretrained("Ver1Sus/test-model") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f44163064b12dda2eaf37d20d00970137422e0b65064d2df07a5f938b74dc727
- Size of remote file:
- 5.27 kB
- SHA256:
- f1ac59cca0e1f622169a94a5681f7ae33ce0a372dad479bf32f4b452f6af6744
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