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
| { | |
| "epoch": 20.0, | |
| "train_loss": 0.5992164485148723, | |
| "train_runtime": 340057.0464, | |
| "train_samples": 1464817, | |
| "train_samples_per_second": 86.151, | |
| "train_steps_per_second": 0.673 | |
| } |