Instructions to use alfaneo/jurisbert-base-portuguese-uncased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use alfaneo/jurisbert-base-portuguese-uncased with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="alfaneo/jurisbert-base-portuguese-uncased")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("alfaneo/jurisbert-base-portuguese-uncased") model = AutoModelForMaskedLM.from_pretrained("alfaneo/jurisbert-base-portuguese-uncased", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4295a842670fd2daa9e5f5c2f7a7ed79c36f2e94000194b295f804b41cef3a81
- Size of remote file:
- 2.8 kB
- SHA256:
- c4506944dc2dc000f2b1409fcf964fc5142372e00e483e584a6c126c26d34e9f
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