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
Commit ·
1955a8a
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Parent(s): 12dee61
Upload eval_results.json
Browse files- eval_results.json +9 -0
eval_results.json
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{
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"epoch": 20.0,
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"eval_loss": 1.0495083332061768,
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"eval_runtime": 798.4883,
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"eval_samples": 77096,
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"eval_samples_per_second": 96.552,
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"eval_steps_per_second": 6.035,
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"perplexity": 2.856246451242393
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}
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