Text Classification
Transformers
TensorFlow
bert
generated_from_keras_callback
text-embeddings-inference
Instructions to use gustavokpc/bert-base-portuguese-cased_LRATE_1e-05_EPOCHS_5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gustavokpc/bert-base-portuguese-cased_LRATE_1e-05_EPOCHS_5 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="gustavokpc/bert-base-portuguese-cased_LRATE_1e-05_EPOCHS_5")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("gustavokpc/bert-base-portuguese-cased_LRATE_1e-05_EPOCHS_5") model = AutoModelForSequenceClassification.from_pretrained("gustavokpc/bert-base-portuguese-cased_LRATE_1e-05_EPOCHS_5") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b2ee678925fd5989881fe4fbc105cb3449a919ca173734efe07f507fe69429c6
- Size of remote file:
- 436 MB
- SHA256:
- c410a89d371ae8cee12f0ef2ae376f5d187bbad54e37573881ade9f73f08a15d
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