Instructions to use neuralmind/bert-base-portuguese-cased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use neuralmind/bert-base-portuguese-cased with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="neuralmind/bert-base-portuguese-cased")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("neuralmind/bert-base-portuguese-cased") model = AutoModelForMaskedLM.from_pretrained("neuralmind/bert-base-portuguese-cased", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 54003ebb32fa5b387b72761e34b220d66238b36cb0a4e024ccc215b4fe1a739d
- Size of remote file:
- 438 MB
- SHA256:
- cb1693767adef60abf23d9fde3996f0c1e6310afad103a2db94ad44854568955
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