Instructions to use hf-internal-testing/tiny-random-FunnelForQuestionAnswering with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-FunnelForQuestionAnswering with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="hf-internal-testing/tiny-random-FunnelForQuestionAnswering")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-FunnelForQuestionAnswering") model = AutoModelForQuestionAnswering.from_pretrained("hf-internal-testing/tiny-random-FunnelForQuestionAnswering") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- eae3024d0d8859253ceec850adeee4dcf1f8b3899c824265d55e5685a2522b38
- Size of remote file:
- 420 kB
- SHA256:
- 3116956d0c763ba2b14c9738565defdf8bf582eb34220e258edcfdab021fe18f
路
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