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
File size: 134 Bytes
f960b72 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:baec6ec7d049240ded512f91d78b1c9c9e70507355d1317335e91c6aa7586501
size 433370483
|