Instructions to use sorryhyun/koreancomp2022-emo-model-seed-0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sorryhyun/koreancomp2022-emo-model-seed-0 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="sorryhyun/koreancomp2022-emo-model-seed-0")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("sorryhyun/koreancomp2022-emo-model-seed-0") model = AutoModelForSequenceClassification.from_pretrained("sorryhyun/koreancomp2022-emo-model-seed-0", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f300645f934070cf57fac630db04f94e73fbe728a4de2c53c417dd95965a9fad
- Size of remote file:
- 473 MB
- SHA256:
- a6b8205b62472fd72b061afdbdfa9c158b5d2b7efbf56ed63eb32aeaf26179c0
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