Instructions to use kakao1513/unsmile_classifier_v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kakao1513/unsmile_classifier_v1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="kakao1513/unsmile_classifier_v1")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("kakao1513/unsmile_classifier_v1") model = AutoModelForSequenceClassification.from_pretrained("kakao1513/unsmile_classifier_v1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a4fe51e6485381fca93c1fc55ce8419fd11b6ae94587104f7a631210f3b6d7f1
- Size of remote file:
- 5.78 kB
- SHA256:
- ad8725abec7511756eb852ac20ec5c73bde8fc4aeea34293f3b4194dd106d8dc
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