Instructions to use amirdnc/HeQ with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use amirdnc/HeQ with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="amirdnc/HeQ")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("amirdnc/HeQ") model = AutoModelForQuestionAnswering.from_pretrained("amirdnc/HeQ") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ede86caff309d87ddc1079bd9eddfa1e388c700277ad9cf042211f0a4155e4a2
- Size of remote file:
- 3.39 kB
- SHA256:
- 2ef2ef0c086667bf7b446f711ae785f2cfcfd861cc8d6a454efefb28c5718ee2
路
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