Text Classification
Transformers
Safetensors
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use Sab286/ai-code-detector-finetuned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Sab286/ai-code-detector-finetuned with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Sab286/ai-code-detector-finetuned")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Sab286/ai-code-detector-finetuned") model = AutoModelForSequenceClassification.from_pretrained("Sab286/ai-code-detector-finetuned", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Sab286/ai-code-detector-finetuned: direct link, hf CLI and curl.
- Browser
- Download file 5.33 kB
-
https://huggingface.co/Sab286/ai-code-detector-finetuned/resolve/main/training_args.bin
- Command line
-
hf download hf://Sab286/ai-code-detector-finetuned/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Sab286/ai-code-detector-finetuned/resolve/main/training_args.bin
5.33 kB
- Xet hash:
- be1003b87ad4b67faaa7ec1ae5ec4ba8e3121df313a6f3910fa7b90a58d95306
- Size of remote file:
- 5.33 kB
- SHA256:
- 9e434ac358f9f6a08192cd47830834bb30b211d5fd80d2c2b14d073eadc3c8f2
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