Instructions to use happy06/KcELECTRA-base-v2022-SequenceClassification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use happy06/KcELECTRA-base-v2022-SequenceClassification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="happy06/KcELECTRA-base-v2022-SequenceClassification")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("happy06/KcELECTRA-base-v2022-SequenceClassification") model = AutoModelForSequenceClassification.from_pretrained("happy06/KcELECTRA-base-v2022-SequenceClassification") - 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:e38bb98a631eb9e03def8c80e4974976a47fa746d910f849d3b1b947db9e08e4
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size 511138476
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