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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cbc0f71dbbaa7822a62c2ccdeecec7be63c10ec332f99dbbcd2d5739dca5e485
- Size of remote file:
- 5.18 kB
- SHA256:
- 22a128590c6e537e135744d1e6117791df057b2c776b2cd80bcc4202b4059992
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