Instructions to use SangwonYoon/klue-roberta-large-tapt with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SangwonYoon/klue-roberta-large-tapt with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="SangwonYoon/klue-roberta-large-tapt")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("SangwonYoon/klue-roberta-large-tapt") model = AutoModelForMaskedLM.from_pretrained("SangwonYoon/klue-roberta-large-tapt", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from SangwonYoon/klue-roberta-large-tapt: direct link, hf CLI and curl.
- Browser
- Download file 1.35 GB
-
https://huggingface.co/SangwonYoon/klue-roberta-large-tapt/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://SangwonYoon/klue-roberta-large-tapt/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/SangwonYoon/klue-roberta-large-tapt/resolve/main/pytorch_model.bin
1.35 GB
- Xet hash:
- dcf345d9063bf45974d2fa3ccc1ba907e2c9c60f9a0bc321ca551bc4b3b846e0
- Size of remote file:
- 1.35 GB
- SHA256:
- eb2e750ef9e86ed1868b24d89dfc9bdff6b1514dd7250849688264aa6543a842
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