Instructions to use hf-internal-testing/tiny-random-XmodForQuestionAnswering with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-XmodForQuestionAnswering with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="hf-internal-testing/tiny-random-XmodForQuestionAnswering")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-XmodForQuestionAnswering") model = AutoModelForQuestionAnswering.from_pretrained("hf-internal-testing/tiny-random-XmodForQuestionAnswering") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 20cb50fdb0b12da91cef13e4d9bdf175195a49f7e1bad80f89ff9e0b4ced9d6a
- Size of remote file:
- 32.2 MB
- SHA256:
- 0f20eb5d98297bb3aef38e977772697d505d381d555470c71094f6d77d3e2b09
路
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