Instructions to use ZurichNLP/swissbert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ZurichNLP/swissbert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="ZurichNLP/swissbert")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("ZurichNLP/swissbert") model = AutoModelForMaskedLM.from_pretrained("ZurichNLP/swissbert") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:b24b70d3813c102cdbb66d06c898a029ae80c7c5179085f043cd25ab7d47e99a
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size 640671888
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