Instructions to use HUBioDataLab/SELFormer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use HUBioDataLab/SELFormer with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="HUBioDataLab/SELFormer")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("HUBioDataLab/SELFormer") model = AutoModelForMaskedLM.from_pretrained("HUBioDataLab/SELFormer", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download modelO.out from HUBioDataLab/SELFormer: direct link, hf CLI and curl.
- Browser
- Download file 1.44 MB
-
https://huggingface.co/HUBioDataLab/SELFormer/resolve/main/modelO.out
- Command line
-
hf download hf://HUBioDataLab/SELFormer/modelO.out
-
curl -L -o modelO.out https://huggingface.co/HUBioDataLab/SELFormer/resolve/main/modelO.out
1.44 MB
File too large to display, you can check the raw version instead.