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
Librarian Bot: Add base_model information to model
#2
by librarian-bot - opened
README.md
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name: Accuracy
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type: accuracy
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value: 0.9766762474673703
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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name: Accuracy
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type: accuracy
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value: 0.9766762474673703
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base_model: neuralmind/bert-large-portuguese-cased
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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