Instructions to use Benjamin-png/swa-checkpoint with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Benjamin-png/swa-checkpoint with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForPreTraining tokenizer = AutoTokenizer.from_pretrained("Benjamin-png/swa-checkpoint") model = AutoModelForPreTraining.from_pretrained("Benjamin-png/swa-checkpoint", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c2147ce3c1f8a48a8e173cc3e185aad3153ff86e573f8a5688cb09df08767ead
- Size of remote file:
- 332 MB
- SHA256:
- 2229b13a5ddb79d39dac12b39e38ea371581376374ed6f44bc6a96ce32a2eb52
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