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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e2bd3cad5c994dfff5a446f8e04ff1c1494c8740b206bec3e551667688b41aec
- Size of remote file:
- 420 kB
- SHA256:
- 2ddde7d20d7daca30e6872d52ee8d34d3b3ae6dad56db157fe5d618c16b9d471
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