Instructions to use LeeKunHa/BOAZ_STUDY with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use LeeKunHa/BOAZ_STUDY with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="LeeKunHa/BOAZ_STUDY")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("LeeKunHa/BOAZ_STUDY") model = AutoModelForSequenceClassification.from_pretrained("LeeKunHa/BOAZ_STUDY", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 73f582aca48372e52fd1d6aa01f0d04fdb49de4b068e6e10c206513922924a16
- Size of remote file:
- 438 MB
- SHA256:
- b9470721a3f946cfdb8cf8ea23e8f534524d43278836498822ed99c2019fee79
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