Instructions to use hf-internal-testing/tiny-random-ReformerForQuestionAnswering with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-ReformerForQuestionAnswering with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="hf-internal-testing/tiny-random-ReformerForQuestionAnswering")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-ReformerForQuestionAnswering") model = AutoModelForQuestionAnswering.from_pretrained("hf-internal-testing/tiny-random-ReformerForQuestionAnswering") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a00b11b203433332120f62b1daed50ea530aeef85761d5957937d6f015717b52
- Size of remote file:
- 349 kB
- SHA256:
- bb8512990ee6e06673df7a369da71d15b55fca78654d6685e0a717b03f029b54
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