Text Classification
Transformers
PyTorch
TensorBoard
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use Mahmoud8/distilroberta-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Mahmoud8/distilroberta-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Mahmoud8/distilroberta-base")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Mahmoud8/distilroberta-base") model = AutoModelForSequenceClassification.from_pretrained("Mahmoud8/distilroberta-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Mahmoud8/distilroberta-base: direct link, hf CLI and curl.
- Browser
- Download file 4.03 kB
-
https://huggingface.co/Mahmoud8/distilroberta-base/resolve/main/training_args.bin
- Command line
-
hf download hf://Mahmoud8/distilroberta-base/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Mahmoud8/distilroberta-base/resolve/main/training_args.bin
4.03 kB
- Xet hash:
- 97d84907ee2e97150e09764efedc98c742ebf9a46c777e59255e1e31df028b3b
- Size of remote file:
- 4.03 kB
- SHA256:
- 3d4fd47b8601428c35880e1c2d48ca9e8fc8dce0cc7ad5976e30f590eafe8f3c
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