Instructions to use schnell/bert-small-ipadic-unigram with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use schnell/bert-small-ipadic-unigram with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="schnell/bert-small-ipadic-unigram")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("schnell/bert-small-ipadic-unigram") model = AutoModelForMaskedLM.from_pretrained("schnell/bert-small-ipadic-unigram", device_map="auto") - 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 sha256:28c88894b238261db97d2f9a19a893e1c2660cf9ecc12af557ffb545f8eeff13
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size 118236740
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