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
Adding `safetensors` variant of this model
#3
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:f8334f60318d942600ea834ce8a5849d227bd8da2e1ff914460b51ec83067222
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size 439207376
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