Text Classification
Transformers
Safetensors
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use Yuvrajg2107/roberta-base-cpp-final with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Yuvrajg2107/roberta-base-cpp-final with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Yuvrajg2107/roberta-base-cpp-final")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Yuvrajg2107/roberta-base-cpp-final") model = AutoModelForSequenceClassification.from_pretrained("Yuvrajg2107/roberta-base-cpp-final", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Yuvrajg2107/roberta-base-cpp-final: direct link, hf CLI and curl.
- Browser
- Download file 5.84 kB
-
https://huggingface.co/Yuvrajg2107/roberta-base-cpp-final/resolve/main/training_args.bin
- Command line
-
hf download hf://Yuvrajg2107/roberta-base-cpp-final/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Yuvrajg2107/roberta-base-cpp-final/resolve/main/training_args.bin
5.84 kB
- Xet hash:
- e8eb4b7fad390a00f5e1e74c5d2dd4b59bdbb7d55c118be9dc67647a6132db3b
- Size of remote file:
- 5.84 kB
- SHA256:
- 4672bef08597eaac4166af409003080f023f24990f8f58c185b2b990119dc93e
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