Instructions to use hf-tiny-model-private/tiny-random-FunnelForQuestionAnswering with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-tiny-model-private/tiny-random-FunnelForQuestionAnswering with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="hf-tiny-model-private/tiny-random-FunnelForQuestionAnswering")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("hf-tiny-model-private/tiny-random-FunnelForQuestionAnswering") model = AutoModelForQuestionAnswering.from_pretrained("hf-tiny-model-private/tiny-random-FunnelForQuestionAnswering") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7a93513a4ab37c85ac0df8a8de3a7822b3a6ac16235c45ceafa2b29dc4e36ef0
- Size of remote file:
- 315 kB
- SHA256:
- 5537110c02c6290bfb09a0a3cf2ddca1ddfff2966ca2ebffbedc94a6a5712cef
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