Feature Extraction
Transformers
Safetensors
English
qwen2
quantized
4bit
bnb
text-embeddings-inference
4-bit precision
bitsandbytes
Instructions to use manu02/VulnLLM-R-7B-bnb-4bit-nf4-dq with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use manu02/VulnLLM-R-7B-bnb-4bit-nf4-dq with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="manu02/VulnLLM-R-7B-bnb-4bit-nf4-dq")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("manu02/VulnLLM-R-7B-bnb-4bit-nf4-dq") model = AutoModel.from_pretrained("manu02/VulnLLM-R-7B-bnb-4bit-nf4-dq") - Notebooks
- Google Colab
- Kaggle
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