Instructions to use ys7yoo/sts_bert_klue_e7 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ys7yoo/sts_bert_klue_e7 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ys7yoo/sts_bert_klue_e7")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ys7yoo/sts_bert_klue_e7") model = AutoModelForSequenceClassification.from_pretrained("ys7yoo/sts_bert_klue_e7", 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:da1aebb83fa75dd0920894ca145335a55aa52e259be84ee39318006175f7d693
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size 442495988
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