Instructions to use sangmini/gugak_finetuning with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sangmini/gugak_finetuning with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="sangmini/gugak_finetuning")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("sangmini/gugak_finetuning") model = AutoModelForSequenceClassification.from_pretrained("sangmini/gugak_finetuning") - 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:dff2fd5078ef3a70b5e0fa3f679cd1c6074b9ecf1cabe9cf6d070ec209ad152e
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size 2239618672
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