Instructions to use hf-internal-testing/tiny-random-BigBirdPegasusForQuestionAnswering with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-BigBirdPegasusForQuestionAnswering 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="hf-internal-testing/tiny-random-BigBirdPegasusForQuestionAnswering")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-BigBirdPegasusForQuestionAnswering") model = AutoModelForQuestionAnswering.from_pretrained("hf-internal-testing/tiny-random-BigBirdPegasusForQuestionAnswering", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from hf-internal-testing/tiny-random-BigBirdPegasusForQuestionAnswering: direct link, hf CLI and curl.
- Browser
- Download file 12.5 MB
-
https://huggingface.co/hf-internal-testing/tiny-random-BigBirdPegasusForQuestionAnswering/resolve/refs%2Fpr%2F1/pytorch_model.bin
- Command line
-
hf download hf://hf-internal-testing/tiny-random-BigBirdPegasusForQuestionAnswering@refs/pr/1/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/hf-internal-testing/tiny-random-BigBirdPegasusForQuestionAnswering/resolve/refs%2Fpr%2F1/pytorch_model.bin
12.5 MB
- Xet hash:
- a26e090d745200e06202c9d1bccaeafa040cf9a7c58bd59e4948b1132a7b1ea1
- Size of remote file:
- 12.5 MB
- SHA256:
- e27a452d02e5ade9d2bd6abddeaf13bcdddd09bdc82290e642ca1eef29d3877d
路
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