Instructions to use hf-internal-testing/tiny-random-CanineForQuestionAnswering with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-CanineForQuestionAnswering with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="hf-internal-testing/tiny-random-CanineForQuestionAnswering")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-CanineForQuestionAnswering") model = AutoModelForQuestionAnswering.from_pretrained("hf-internal-testing/tiny-random-CanineForQuestionAnswering", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9f8286c4a988e701c8868539b6208c8178a296f6f424a4360e224c312e408a8c
- Size of remote file:
- 4.46 MB
- SHA256:
- 97d53c5b6a7150f139e4698a9f5dec0e1d562a246384eb3e23d6b4696dc8c7a6
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