Instructions to use hf-internal-testing/tiny-random-MegatronBertForQuestionAnswering with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-MegatronBertForQuestionAnswering with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="hf-internal-testing/tiny-random-MegatronBertForQuestionAnswering")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-MegatronBertForQuestionAnswering") model = AutoModelForQuestionAnswering.from_pretrained("hf-internal-testing/tiny-random-MegatronBertForQuestionAnswering") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cd39a4bfba0a890c22f207acf8eb6fc7fc2d50876f6506bf99c2552e6fa46b91
- Size of remote file:
- 872 kB
- SHA256:
- c99eb5c9a045ec3fcaacc654bc84f115a066ea0eda0f0100d291e26f839dc773
路
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