Instructions to use hf-internal-testing/tiny-random-IBertForQuestionAnswering with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-IBertForQuestionAnswering with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="hf-internal-testing/tiny-random-IBertForQuestionAnswering")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-IBertForQuestionAnswering") model = AutoModelForQuestionAnswering.from_pretrained("hf-internal-testing/tiny-random-IBertForQuestionAnswering") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7170fc28d971ee7a1b55236a2ee1463eba3b66d78d5b555e3a5b3e194814b002
- Size of remote file:
- 725 kB
- SHA256:
- fddca46f7fbe7766df96ac841f2b1f567ff3a520c382ebf5e68d2316faefad4a
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