Instructions to use lfcc/bert-large-pt-archive with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lfcc/bert-large-pt-archive with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="lfcc/bert-large-pt-archive")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("lfcc/bert-large-pt-archive") model = AutoModelForTokenClassification.from_pretrained("lfcc/bert-large-pt-archive") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
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Librarian Bot: Add base_model information to model
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Add tag to model card metadata
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