Text Classification
Transformers
PyTorch
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use ysouidi/model_2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ysouidi/model_2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ysouidi/model_2")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ysouidi/model_2") model = AutoModelForSequenceClassification.from_pretrained("ysouidi/model_2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f832a244a9af21183a034c66470455939c9f73642100ee0bf17654b0a6184ed9
- Size of remote file:
- 268 MB
- SHA256:
- 162b65e859d2d99c5b909de228a8a9519e0813533dd9900775f0cfb6ff3cdcb2
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