Instructions to use rjbownes/BBC-GQA-eval with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rjbownes/BBC-GQA-eval with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="rjbownes/BBC-GQA-eval")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("rjbownes/BBC-GQA-eval") model = AutoModelForMaskedLM.from_pretrained("rjbownes/BBC-GQA-eval") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 77886d86df803cac3e975efb9867a909388449d21d8afd17641dd4d5947127e3
- Size of remote file:
- 433 MB
- SHA256:
- baec6ec7d049240ded512f91d78b1c9c9e70507355d1317335e91c6aa7586501
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