Instructions to use haritzpuerto/MetaQA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use haritzpuerto/MetaQA with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="haritzpuerto/MetaQA")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("haritzpuerto/MetaQA") model = AutoModel.from_pretrained("haritzpuerto/MetaQA") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 15327c6c137df098472071cfffebc611fe86d56b53115bfc7f51cf7dbc9c321b
- Size of remote file:
- 439 MB
- SHA256:
- 5280254e17e6d6ae3dc1bdd37d66750490f5cf80fa8e67cc55ae02878d1bf9ee
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