Instructions to use rosimeirecosta/roberta-base-cased-pt-c-corpus with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rosimeirecosta/roberta-base-cased-pt-c-corpus with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="rosimeirecosta/roberta-base-cased-pt-c-corpus")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("rosimeirecosta/roberta-base-cased-pt-c-corpus") model = AutoModelForMaskedLM.from_pretrained("rosimeirecosta/roberta-base-cased-pt-c-corpus") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 513b9b4012925c2be73b4e370c9f465a8793423f0b46c8b3799212eac51ee186
- Size of remote file:
- 636 MB
- SHA256:
- 688086a0d1efb58f3c7b099065521a5eb85afb8a91743b068a58e83a643bf11f
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