Text Classification
Transformers
PyTorch
TensorBoard
English
distilbert
Generated from Trainer
Eval Results (legacy)
text-embeddings-inference
Instructions to use LysandreJik/testing with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use LysandreJik/testing with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="LysandreJik/testing")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("LysandreJik/testing") model = AutoModelForSequenceClassification.from_pretrained("LysandreJik/testing") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 96981a1aeed4bb705bb696bb485be980155f463190a8098903ed24e35faef87d
- Size of remote file:
- 268 MB
- SHA256:
- 014324fc4acbc63977f6f32eab74752231a997514ab5122c50b13d62c4becf2c
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