Instructions to use zharry29/goal_benchmark_bert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use zharry29/goal_benchmark_bert with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForMultipleChoice tokenizer = AutoTokenizer.from_pretrained("zharry29/goal_benchmark_bert") model = AutoModelForMultipleChoice.from_pretrained("zharry29/goal_benchmark_bert", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e82c91c9bbb2561e5d00a9db3a4c46ff6607c07a1d4b8edf7b940566ed3db92f
- Size of remote file:
- 438 MB
- SHA256:
- ee79e30ee18845de5c6c32d397c44c93607b2d3b0b6bf40ac7d247ea47b6c4da
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