Instructions to use YeRyeongLee/test3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use YeRyeongLee/test3 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="YeRyeongLee/test3")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("YeRyeongLee/test3") model = AutoModelForQuestionAnswering.from_pretrained("YeRyeongLee/test3", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from YeRyeongLee/test3: direct link, hf CLI and curl.
- Browser
- Download file 440 MB
-
https://huggingface.co/YeRyeongLee/test3/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://YeRyeongLee/test3/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/YeRyeongLee/test3/resolve/main/pytorch_model.bin
440 MB
- Xet hash:
- d830eb3cad0b7cde5f000e5f0ae81d2c02e027d34c8b5e0d0051e3ff72448447
- Size of remote file:
- 440 MB
- SHA256:
- bb8611309a6efaae7232ee12df174225f982393aa6a2b3ce2b6988ae71e97b47
路
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