Instructions to use flax-community/roberta-base-mr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use flax-community/roberta-base-mr with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="flax-community/roberta-base-mr")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("flax-community/roberta-base-mr") model = AutoModelForMaskedLM.from_pretrained("flax-community/roberta-base-mr") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cd735337aa69effaa83ffb3fabe86c0b2d6a494a12b5d7b6ea0e95993c7f07d0
- Size of remote file:
- 499 MB
- SHA256:
- 60b91f9fe23630bd2c75cb1247853b5ff809ae5456e2c25eb1faf8f220ca1e80
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