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:
- 9b3d75431f317d376984595145146154f1a120afe8af7c458461b9ad07c17bbf
- Size of remote file:
- 436 MB
- SHA256:
- fe0c9dd69ed398bbd319a50e376091b75a6bc9a3db055382dcb7117fe79b5cbe
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