Instructions to use pborchert/bert-ic with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pborchert/bert-ic with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="pborchert/bert-ic")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("pborchert/bert-ic") model = AutoModelForMaskedLM.from_pretrained("pborchert/bert-ic") - 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:ecba9fd17cb5c263a52f4300dce0596fe341721bbc9180b73306f62ca4d19377
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size 440477564
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