Instructions to use hf-internal-testing/tiny-random-FalconForQuestionAnswering with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-FalconForQuestionAnswering with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="hf-internal-testing/tiny-random-FalconForQuestionAnswering")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-FalconForQuestionAnswering") model = AutoModelForQuestionAnswering.from_pretrained("hf-internal-testing/tiny-random-FalconForQuestionAnswering") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1893af6dc2f7e262a52ca2cf8f8ae7ce09deea616a35ef721e072fa4dc4c9858
- Size of remote file:
- 233 kB
- SHA256:
- 281d12e0a5bfc1aee9835c13b843813e0810219ee429c688217c9e9ab9c67b00
路
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