Instructions to use JackBAI/roberta-medium with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use JackBAI/roberta-medium with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="JackBAI/roberta-medium")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("JackBAI/roberta-medium") model = AutoModelForMaskedLM.from_pretrained("JackBAI/roberta-medium") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 216e976d8dfab3111bdd942a9790ab8a528094bbe11cf8be869fb6119baf4289
- Size of remote file:
- 155 MB
- SHA256:
- df9d2aec3b51894913abad54e93ece9e5197d644d480870ef3d4d5b95f8500da
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