Token Classification
Transformers
Safetensors
iona-denoising
mass-spectrometry
proteomics
tandem-mass-spectrometry
denoising
iona
custom_code
Instructions to use Gaolaboratory/iona-denoise-50m with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Gaolaboratory/iona-denoise-50m with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Gaolaboratory/iona-denoise-50m", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModelForTokenClassification model = AutoModelForTokenClassification.from_pretrained("Gaolaboratory/iona-denoise-50m", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download preprocessor_config.json from Gaolaboratory/iona-denoise-50m: direct link, hf CLI and curl.
- Browser
- Download file 166 Bytes
-
https://huggingface.co/Gaolaboratory/iona-denoise-50m/resolve/main/preprocessor_config.json
- Command line
-
hf download hf://Gaolaboratory/iona-denoise-50m/preprocessor_config.json
-
curl -L -o preprocessor_config.json https://huggingface.co/Gaolaboratory/iona-denoise-50m/resolve/main/preprocessor_config.json
166 Bytes
| { | |
| "auto_map": { | |
| "AutoProcessor": "processing_iona.IonaProcessor" | |
| }, | |
| "feature_extractor_type": "IonaProcessor", | |
| "max_peaks": 512, | |
| "padding_value": 0.0 | |
| } | |