Instructions to use hf-internal-testing/tiny-random-RemBertForQuestionAnswering with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-RemBertForQuestionAnswering with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="hf-internal-testing/tiny-random-RemBertForQuestionAnswering")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-RemBertForQuestionAnswering") model = AutoModelForQuestionAnswering.from_pretrained("hf-internal-testing/tiny-random-RemBertForQuestionAnswering") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1fa03650d79a457974cff5e95c25b4266391a9fc0d22f2bffa1fd937b82f02eb
- Size of remote file:
- 18.2 MB
- SHA256:
- ec3e8eee79b650c62974b07b1254152b7daec62d165dcbe21cdaf0c7dc89f560
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