Instructions to use eunjin/bert_base_cased_syntax with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use eunjin/bert_base_cased_syntax with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="eunjin/bert_base_cased_syntax")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("eunjin/bert_base_cased_syntax") model = AutoModel.from_pretrained("eunjin/bert_base_cased_syntax") - 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 sha256:186f4f6106676595caea8df9a2fb5eef987b790450082c6fd97eba941e13ca6d
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size 433267632
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