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:
- 9b337ef160ed6cbb6012f1bfd330c8575eea9c8b2b85b010781ee3fd256d46fd
- Size of remote file:
- 2.93 kB
- SHA256:
- 3facf7d801661cc8ee039e66054d76e23bb448f277a5f6eb565dfbef2cffd89b
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