Instructions to use tacit3233/longformer-kor-char with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tacit3233/longformer-kor-char with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="tacit3233/longformer-kor-char")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("tacit3233/longformer-kor-char") model = AutoModelForMaskedLM.from_pretrained("tacit3233/longformer-kor-char") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6fcd0ae260ae4e858146a74f6a3e6017f46bb78ea3e13651cdb960fc4c78fa7e
- Size of remote file:
- 445 MB
- SHA256:
- d2c906946743ae0464758f44168e304dd74fab1573d4e985f8db84cc997f18ee
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