Instructions to use flax-community/roberta-flax-dataset-stream-is with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use flax-community/roberta-flax-dataset-stream-is with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="flax-community/roberta-flax-dataset-stream-is", device_map="auto")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("flax-community/roberta-flax-dataset-stream-is") model = AutoModelForMaskedLM.from_pretrained("flax-community/roberta-flax-dataset-stream-is", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 129bbb542f7e04026d832e4f1616f944fe8cfc740b38011cddc1be86beaf7248
- Size of remote file:
- 6.78 MB
- SHA256:
- 2e6bc8766f26458ce387718328cc671736a965c702b89aef28882511076b7ca3
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