Instructions to use sungjun83/KcElectra_Fine_Tuned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sungjun83/KcElectra_Fine_Tuned with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="sungjun83/KcElectra_Fine_Tuned")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("sungjun83/KcElectra_Fine_Tuned") model = AutoModelForSequenceClassification.from_pretrained("sungjun83/KcElectra_Fine_Tuned", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#2
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 sha256:01228d651dee1e9f6e8e9aba1362391ad35c9de2ffac947c03625bd171e6a5b4
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size 436378304
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