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:
- 88096746a4618a7324ab9cc662b552549834df85da1e177ceb738f4b4e8dacfa
- Size of remote file:
- 15.6 MB
- SHA256:
- f00cf23957091b96e75a41cb5a21f69cb29f94187165374e53a63d9e6b1fdfa6
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