Instructions to use Khyeyoon/MRC_roberta with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Khyeyoon/MRC_roberta 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="Khyeyoon/MRC_roberta")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("Khyeyoon/MRC_roberta") model = AutoModelForQuestionAnswering.from_pretrained("Khyeyoon/MRC_roberta", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from Khyeyoon/MRC_roberta: direct link, hf CLI and curl.
- Browser
- Download file 1.34 GB
-
https://huggingface.co/Khyeyoon/MRC_roberta/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://Khyeyoon/MRC_roberta/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Khyeyoon/MRC_roberta/resolve/main/pytorch_model.bin
1.34 GB
- Xet hash:
- 9e269c9f4e69e76439da2b8f2b99d82f4906f1ac28221451b1ac2cbe72dab7d9
- Size of remote file:
- 1.34 GB
- SHA256:
- 4254a86bfee6d80a86e61a78cbd10d8f1d744df4867bf81703f885afd3398cbe
路
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