Instructions to use zharry29/goal_benchmark_roberta with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use zharry29/goal_benchmark_roberta with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForMultipleChoice tokenizer = AutoTokenizer.from_pretrained("zharry29/goal_benchmark_roberta") model = AutoModelForMultipleChoice.from_pretrained("zharry29/goal_benchmark_roberta", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 69a17b991117aeea96605e3e1f4d9c753dfee1813a607c5eae9a733e7c0190c9
- Size of remote file:
- 499 MB
- SHA256:
- 68f7abee16759a62ec0707f34e2c5dc97640cb056fb5f2431b228f6c8e46cd15
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