Instructions to use eunjin/bert_base_cased_semantics_cls with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use eunjin/bert_base_cased_semantics_cls with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="eunjin/bert_base_cased_semantics_cls")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("eunjin/bert_base_cased_semantics_cls") model = AutoModelForSequenceClassification.from_pretrained("eunjin/bert_base_cased_semantics_cls") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
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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:df0dd5582252b450c96b28486db4b0dadb64c41c4f701602ee21c2285dc69a99
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size 433274952
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