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:
- a962e091f86c1e8bb549a5d3a57bcaa6f241aa632c6f05bac0a3014953805a8f
- Size of remote file:
- 436 MB
- SHA256:
- 7a85374ef5ba07127dcb96e5b5feeae6dbec95df6ad28a62ec0668247c947bd2
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