Instructions to use antoinelouis/netbert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use antoinelouis/netbert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="antoinelouis/netbert")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("antoinelouis/netbert") model = AutoModelForMaskedLM.from_pretrained("antoinelouis/netbert") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d15506f5579bcc0c40e074958ca50046f3d63a1c3bb43b7e30e806ad2995f1e9
- Size of remote file:
- 527 MB
- SHA256:
- 91c2a9245e811d909554f8881732b079c934ff853aa506208c7e9dd4db2368ed
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.