Instructions to use hf-internal-testing/tiny-random-ElectraForQuestionAnswering with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-ElectraForQuestionAnswering with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="hf-internal-testing/tiny-random-ElectraForQuestionAnswering")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-ElectraForQuestionAnswering") model = AutoModelForQuestionAnswering.from_pretrained("hf-internal-testing/tiny-random-ElectraForQuestionAnswering", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c47d38fd677c0a07c51223a2d8a8b66df61b4246df9155425e915c9edce3742c
- Size of remote file:
- 1.03 MB
- SHA256:
- 0c159483f3aba12722218f907e4cee4fb612efb052dac4edd9d16e8312922bad
路
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