Instructions to use Doohae/roberta with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Doohae/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="Doohae/roberta")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("Doohae/roberta") model = AutoModelForQuestionAnswering.from_pretrained("Doohae/roberta", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download nbest_predictions.json from Doohae/roberta: direct link, hf CLI and curl.
- Browser
- Download file 1.11 MB
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https://huggingface.co/Doohae/roberta/resolve/main/nbest_predictions.json
- Command line
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hf download hf://Doohae/roberta/nbest_predictions.json
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curl -L -o nbest_predictions.json https://huggingface.co/Doohae/roberta/resolve/main/nbest_predictions.json
1.11 MB
File too large to display, you can check the raw version instead.