Instructions to use mradermacher/codebert-base-Malicious_URLs-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mradermacher/codebert-base-Malicious_URLs-GGUF with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("mradermacher/codebert-base-Malicious_URLs-GGUF", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use mradermacher/codebert-base-Malicious_URLs-GGUF with llama.cpp:
Install (macOS, Linux)
curl -LsSf https://llama.app/install.sh | sh # Start a local OpenAI-compatible embeddings server: llama serve -hf mradermacher/codebert-base-Malicious_URLs-GGUF:Q4_K_M --embeddings
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible embeddings server: llama serve -hf mradermacher/codebert-base-Malicious_URLs-GGUF:Q4_K_M --embeddings
Build from source code
git clone https://github.com/ggml-org/llama.cpp.git cd llama.cpp cmake -B build cmake --build build -j --target llama-app # Start a local OpenAI-compatible embeddings server: ./build/bin/llama serve -hf mradermacher/codebert-base-Malicious_URLs-GGUF:Q4_K_M --embeddings
- Llama new
- LM Studio
- Jan
- Ollama
How to use mradermacher/codebert-base-Malicious_URLs-GGUF with Ollama:
ollama run hf.co/mradermacher/codebert-base-Malicious_URLs-GGUF:Q4_K_M
- Unsloth Desktop
- Docker Model Runner
How to use mradermacher/codebert-base-Malicious_URLs-GGUF with Docker Model Runner:
docker model run hf.co/mradermacher/codebert-base-Malicious_URLs-GGUF:Q4_K_M
- Lemonade
How to use mradermacher/codebert-base-Malicious_URLs-GGUF with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull mradermacher/codebert-base-Malicious_URLs-GGUF:Q4_K_M
Run and chat with the model
lemonade run user.codebert-base-Malicious_URLs-GGUF-Q4_K_M
List all available models
lemonade list
- Atomic Chat
Download codebert-base-Malicious_URLs.Q6_K.gguf from mradermacher/codebert-base-Malicious_URLs-GGUF: direct link, hf CLI and curl.
- Browser
- Download file 106 MB
-
https://huggingface.co/mradermacher/codebert-base-Malicious_URLs-GGUF/resolve/main/codebert-base-Malicious_URLs.Q6_K.gguf
- Command line
-
hf download hf://mradermacher/codebert-base-Malicious_URLs-GGUF/codebert-base-Malicious_URLs.Q6_K.gguf
-
curl -L -o codebert-base-Malicious_URLs.Q6_K.gguf https://huggingface.co/mradermacher/codebert-base-Malicious_URLs-GGUF/resolve/main/codebert-base-Malicious_URLs.Q6_K.gguf
106 MB
- Xet hash:
- 63fae239830175b7893bb5778530b56d256f948eb6e04a990f283b2da37a9156
- Size of remote file:
- 106 MB
- SHA256:
- e4bd1a84cb1c6c599bba14511a7a3b8f7b2b6c73a107cfa0ab992c288e396187
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