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:
- d2429ad279d969409f3546d7881d827a61054c4c79daa8503960eefb99d1de24
- Size of remote file:
- 4.6 kB
- SHA256:
- 91170b29ebe2aa4acf8aa7e9987938ca07315eef1d60977aca8ed0d41aa30a38
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