Text Classification
Transformers
Safetensors
deberta-v2
agents
agent-safety
tool-use
prompt-injection
deberta-v3
text-embeddings-inference
Instructions to use kontext-security/Merlin with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kontext-security/Merlin with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="kontext-security/Merlin")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("kontext-security/Merlin") model = AutoModelForSequenceClassification.from_pretrained("kontext-security/Merlin", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from kontext-security/Merlin: direct link, hf CLI and curl.
- Browser
- Download file 283 MB
-
https://huggingface.co/kontext-security/Merlin/resolve/main/model.safetensors
- Command line
-
hf download hf://kontext-security/Merlin/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/kontext-security/Merlin/resolve/main/model.safetensors
283 MB
- Xet hash:
- 02383e929cfc3125d4ab83808ed4ad082cf6c5d8fe84a89fd6825e76670df219
- Size of remote file:
- 283 MB
- SHA256:
- 075d68f8bb4c1b4b98e2d2b2c0d5b013056b202172b080b34e7364b698844c86
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