Instructions to use DeadBeast/roberta-base-pretrained-mr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DeadBeast/roberta-base-pretrained-mr with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="DeadBeast/roberta-base-pretrained-mr")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("DeadBeast/roberta-base-pretrained-mr") model = AutoModelForMaskedLM.from_pretrained("DeadBeast/roberta-base-pretrained-mr") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 58645f883991739cf73db97149f9e3e623f8d80be777ce1821310dbaf2bddcbc
- Size of remote file:
- 250 MB
- SHA256:
- 8e058ac2425ded2bbe0035b4be2ecd247fd6bafa6fb6585e79cacb01266e8263
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