Instructions to use hf-internal-testing/tiny-random-BigBirdForQuestionAnswering with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-BigBirdForQuestionAnswering with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="hf-internal-testing/tiny-random-BigBirdForQuestionAnswering", device_map="auto")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-BigBirdForQuestionAnswering") model = AutoModelForQuestionAnswering.from_pretrained("hf-internal-testing/tiny-random-BigBirdForQuestionAnswering", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 721dbec25ada24c19062385d433fb375ea327a33b24458c8e657599e5b1fdbcb
- Size of remote file:
- 6.55 MB
- SHA256:
- dc4a1e44e390af031b78b3a97b82154628fbc3300c4f0021d103ce5ff60e8ec4
路
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