Instructions to use GioReg/notiBERTo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use GioReg/notiBERTo with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="GioReg/notiBERTo")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("GioReg/notiBERTo") model = AutoModelForMaskedLM.from_pretrained("GioReg/notiBERTo", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from GioReg/notiBERTo: direct link, hf CLI and curl.
- Browser
- Download file 334 MB
-
https://huggingface.co/GioReg/notiBERTo/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://GioReg/notiBERTo/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/GioReg/notiBERTo/resolve/main/pytorch_model.bin
334 MB
- Xet hash:
- 17b1603dde6806a607a936bdfbb95c49481cd67d6323e1995e754c6b30527eee
- Size of remote file:
- 334 MB
- SHA256:
- d6905dd4d00d6b874c7cc46c4fa2598503e6234ae1a432d72dd51b148df55a17
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.