Instructions to use Team-PIXEL/pixel-base-finetuned-korquadv1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Team-PIXEL/pixel-base-finetuned-korquadv1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="Team-PIXEL/pixel-base-finetuned-korquadv1")# Load model directly from transformers import AutoModelForQuestionAnswering model = AutoModelForQuestionAnswering.from_pretrained("Team-PIXEL/pixel-base-finetuned-korquadv1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from Team-PIXEL/pixel-base-finetuned-korquadv1: direct link, hf CLI and curl.
- Browser
- Download file 344 MB
-
https://huggingface.co/Team-PIXEL/pixel-base-finetuned-korquadv1/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://Team-PIXEL/pixel-base-finetuned-korquadv1/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Team-PIXEL/pixel-base-finetuned-korquadv1/resolve/main/pytorch_model.bin
344 MB
- Xet hash:
- 20e139cf877cea1fe14ea970e9e70232816e3455841ac7505d596904b82da8ee
- Size of remote file:
- 344 MB
- SHA256:
- 33a89805da6806b969883a24c682e3429ab7adc26fd584d6433d33d8a57f3c9c
路
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