Text Classification
TensorRT
Core ML
ONNX
Safetensors
OpenVINO
English
Russian
bert
feature-extraction
vocabulary-filtering
denoising
multilingual
quantized
int8
Instructions to use faxenoff/code-daemon-denoise-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- TensorRT
How to use faxenoff/code-daemon-denoise-v1 with TensorRT:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
Download manifest.json from faxenoff/code-daemon-denoise-v1: direct link, hf CLI and curl.
- Browser
- Download file 358 Bytes
-
https://huggingface.co/faxenoff/code-daemon-denoise-v1/resolve/main/manifest.json
- Command line
-
hf download hf://faxenoff/code-daemon-denoise-v1/manifest.json
-
curl -L -o manifest.json https://huggingface.co/faxenoff/code-daemon-denoise-v1/resolve/main/manifest.json
358 Bytes
| { | |
| "model_id": "code-daemon-denoise-v1", | |
| "dimension": 384, | |
| "max_tokens": 40, | |
| "quantization": "int8", | |
| "targets": [ | |
| "openvino", | |
| "tvm" | |
| ], | |
| "runtime_tags": { | |
| "trt": "trt11.3", | |
| "ov": "ov2026.4", | |
| "tvm": "tvm0.25", | |
| "mlx_dir": "model_gpu_mlx0.32" | |
| }, | |
| "compiled_at": "2026-09-24T02:26:30Z", | |
| "compiled_by": "models/_compile" | |
| } | |