Text Classification
Transformers
Safetensors
Arabic
llama
arabic
guardrail
safety
jailbreak
prompt-injection
content-moderation
text-embeddings-inference
Instructions to use oddadmix/Nawah-Guard-500K with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use oddadmix/Nawah-Guard-500K with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="oddadmix/Nawah-Guard-500K")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("oddadmix/Nawah-Guard-500K") model = AutoModelForSequenceClassification.from_pretrained("oddadmix/Nawah-Guard-500K", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 270 Bytes
499ff77 | 1 2 3 4 5 6 7 8 9 10 11 12 | {
"backend": "tokenizers",
"bos_token": "<s>",
"eos_token": "</s>",
"is_local": false,
"local_files_only": false,
"model_max_length": 1000000000000000019884624838656,
"pad_token": "<pad>",
"tokenizer_class": "TokenizersBackend",
"unk_token": "<unk>"
}
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