Instructions to use mbartolo/roberta-large-synqa-ext with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mbartolo/roberta-large-synqa-ext 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="mbartolo/roberta-large-synqa-ext")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("mbartolo/roberta-large-synqa-ext") model = AutoModelForQuestionAnswering.from_pretrained("mbartolo/roberta-large-synqa-ext", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download vocab.json from mbartolo/roberta-large-synqa-ext: direct link, hf CLI and curl.
- Browser
- Download file 798 kB
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https://huggingface.co/mbartolo/roberta-large-synqa-ext/resolve/refs%2Fpr%2F3/vocab.json
- Command line
-
hf download hf://mbartolo/roberta-large-synqa-ext@refs/pr/3/vocab.json
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curl -L -o vocab.json https://huggingface.co/mbartolo/roberta-large-synqa-ext/resolve/refs%2Fpr%2F3/vocab.json
798 kB
File too large to display, you can check the raw version instead.