Text Classification
Transformers
TensorBoard
Safetensors
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use Mahmoud59/my_awesome_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Mahmoud59/my_awesome_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Mahmoud59/my_awesome_model")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Mahmoud59/my_awesome_model") model = AutoModelForSequenceClassification.from_pretrained("Mahmoud59/my_awesome_model") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8a7e320469a96ab419ca1fbf31761c3c99ff2379363c2c32c5101d87e26cbfc4
- Size of remote file:
- 5.18 kB
- SHA256:
- 20e3fd1ac11d6f7bcc16fb215174903dfb0dc56dc46a763a06a1ebdfde5e72b3
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