Instructions to use hf-tiny-model-private/tiny-random-RoFormerForQuestionAnswering with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-tiny-model-private/tiny-random-RoFormerForQuestionAnswering with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="hf-tiny-model-private/tiny-random-RoFormerForQuestionAnswering")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("hf-tiny-model-private/tiny-random-RoFormerForQuestionAnswering") model = AutoModelForQuestionAnswering.from_pretrained("hf-tiny-model-private/tiny-random-RoFormerForQuestionAnswering", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from hf-tiny-model-private/tiny-random-RoFormerForQuestionAnswering: direct link, hf CLI and curl.
- Browser
- Download file 1.17 MB
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https://huggingface.co/hf-tiny-model-private/tiny-random-RoFormerForQuestionAnswering/resolve/main/tokenizer.json
- Command line
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hf download hf://hf-tiny-model-private/tiny-random-RoFormerForQuestionAnswering/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/hf-tiny-model-private/tiny-random-RoFormerForQuestionAnswering/resolve/main/tokenizer.json
1.17 MB
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