Instructions to use Nonegom/klue-roberta-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Nonegom/klue-roberta-large with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "question-answering" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # pip install "transformers<5.0.0" from transformers import pipeline pipe = pipeline("question-answering", model="Nonegom/klue-roberta-large")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("Nonegom/klue-roberta-large") model = AutoModelForQuestionAnswering.from_pretrained("Nonegom/klue-roberta-large", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from Nonegom/klue-roberta-large: direct link, hf CLI and curl.
- Browser
- Download file 1.34 GB
-
https://huggingface.co/Nonegom/klue-roberta-large/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://Nonegom/klue-roberta-large/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Nonegom/klue-roberta-large/resolve/main/pytorch_model.bin
1.34 GB
- Xet hash:
- b66f56cff5f0e170dbc88fff3674fc6e6283b8eb9ec002421e6484eb682753b5
- Size of remote file:
- 1.34 GB
- SHA256:
- 0f6144790f5a5bfc654e94e89c602811d20fe1d1e2b56f6c36151517d8c899d0
路
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