Feature Extraction
Transformers
Safetensors
English
transformer
methylation
epigenomics
pretraining
masked-regression
Instructions to use CChahrour/Methformer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CChahrour/Methformer with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="CChahrour/Methformer")# pip install -U transformers accelerate # Load model directly from transformers import Methformer model = Methformer.from_pretrained("CChahrour/Methformer", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from CChahrour/Methformer: direct link, hf CLI and curl.
- Browser
- Download file 5.78 kB
-
https://huggingface.co/CChahrour/Methformer/resolve/main/training_args.bin
- Command line
-
hf download hf://CChahrour/Methformer/training_args.bin
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curl -L -o training_args.bin https://huggingface.co/CChahrour/Methformer/resolve/main/training_args.bin
5.78 kB
- Xet hash:
- 52e8fcf9ee5d63ac48956452de9736a12c487c0115ee8daed93a354af8676868
- Size of remote file:
- 5.78 kB
- SHA256:
- 37da4a91e4a7a1fb53f1722f71f68095edf9e56e25275f82131b849027b5b2c1
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