Instructions to use Yannis98/squad_albert_finetuned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Yannis98/squad_albert_finetuned with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="Yannis98/squad_albert_finetuned")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("Yannis98/squad_albert_finetuned") model = AutoModelForQuestionAnswering.from_pretrained("Yannis98/squad_albert_finetuned") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0b3d45f2c470fa0012dc268f6b964f6416b17845f2be20bb56b78402c9a6bf91
- Size of remote file:
- 65.7 MB
- SHA256:
- 015484f15de446817f0aad4e90db0b3b6c0d2e2794d22118774eec8c35c38ed7
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