Instructions to use fenffef/bert-base-afqmc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use fenffef/bert-base-afqmc with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="fenffef/bert-base-afqmc")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("fenffef/bert-base-afqmc") model = AutoModelForMaskedLM.from_pretrained("fenffef/bert-base-afqmc") - 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:d4c669b3ac6c9ee38ece667ecd0ab4d136081a28242204f27a850fa7f19f8245
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size 409100240
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