Instructions to use HeroGeonil/Hypert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use HeroGeonil/Hypert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="HeroGeonil/Hypert")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("HeroGeonil/Hypert") model = AutoModelForMaskedLM.from_pretrained("HeroGeonil/Hypert", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from HeroGeonil/Hypert: direct link, hf CLI and curl.
- Browser
- Download file 438 MB
-
https://huggingface.co/HeroGeonil/Hypert/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://HeroGeonil/Hypert/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/HeroGeonil/Hypert/resolve/main/pytorch_model.bin
438 MB
- Xet hash:
- 34bddc9545d9486b956e7aded9418bc84d29f8fb50a3844c03c5975429464e25
- Size of remote file:
- 438 MB
- SHA256:
- f2baaf340f639c9aae4924cc2374b1f947c04fd052aced962eea256263a74c48
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