Text Classification
Transformers
PyTorch
TensorBoard
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use Mahmoud8/roberta-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Mahmoud8/roberta-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Mahmoud8/roberta-base")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Mahmoud8/roberta-base") model = AutoModelForSequenceClassification.from_pretrained("Mahmoud8/roberta-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Mahmoud8/roberta-base: direct link, hf CLI and curl.
- Browser
- Download file 3.64 kB
-
https://huggingface.co/Mahmoud8/roberta-base/resolve/main/training_args.bin
- Command line
-
hf download hf://Mahmoud8/roberta-base/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Mahmoud8/roberta-base/resolve/main/training_args.bin
3.64 kB
- Xet hash:
- e06a5377f7f06ada187c32bc49d801410f8dabd5c0e1007f5d67787a172517dd
- Size of remote file:
- 3.64 kB
- SHA256:
- 2e3c9019d478f6098b211e88bc1a4749e0a705eda70009e1f196c98ff5501ddf
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