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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8265a09ede349c47d054f849c3534c38ee8ee3c8be91f3bf1f17d6ab65790a64
- Size of remote file:
- 32.3 MB
- SHA256:
- 0f8f9b2f25b23f372e9edde72eb45d5351770c4b7dc210c2e7664e8c3ed14403
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