Instructions to use FpOliveira/tupi-bert-base-portuguese-cased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FpOliveira/tupi-bert-base-portuguese-cased with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="FpOliveira/tupi-bert-base-portuguese-cased")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("FpOliveira/tupi-bert-base-portuguese-cased") model = AutoModelForSequenceClassification.from_pretrained("FpOliveira/tupi-bert-base-portuguese-cased") - Notebooks
- Google Colab
- Kaggle
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README.md
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| `FpOliveira/tupi-bert-base-portuguese-cased-multiclass-multilabel` | BERT-Base | 12 | 109M |
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| `FpOliveira/tupi-bert-large-portuguese-cased-multiclass-multilabel` | BERT-Large | 24 | 334M |
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##
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```python
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from transformers import AutoModelForSequenceClassification, AutoTokenizer, AutoConfig
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| `FpOliveira/tupi-bert-base-portuguese-cased-multiclass-multilabel` | BERT-Base | 12 | 109M |
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| `FpOliveira/tupi-bert-large-portuguese-cased-multiclass-multilabel` | BERT-Large | 24 | 334M |
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## Example usage usage
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```python
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from transformers import AutoModelForSequenceClassification, AutoTokenizer, AutoConfig
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