Instructions to use eunjin/bert_base_cased_syntax_cls with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use eunjin/bert_base_cased_syntax_cls with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="eunjin/bert_base_cased_syntax_cls")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("eunjin/bert_base_cased_syntax_cls") model = AutoModelForSequenceClassification.from_pretrained("eunjin/bert_base_cased_syntax_cls") - 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:fb30519365e3d56f25aef236a6dad9cd91a0b40826225a2eb2d55f4faaef3e89
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size 433274952
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