Instructions to use lfcc/bert-multilingual-pt-archive with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lfcc/bert-multilingual-pt-archive with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="lfcc/bert-multilingual-pt-archive")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("lfcc/bert-multilingual-pt-archive") model = AutoModelForTokenClassification.from_pretrained("lfcc/bert-multilingual-pt-archive", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from lfcc/bert-multilingual-pt-archive: direct link, hf CLI and curl.
- Browser
- Download file 1.96 MB
-
https://huggingface.co/lfcc/bert-multilingual-pt-archive/resolve/refs%2Fpr%2F2/tokenizer.json
- Command line
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hf download hf://lfcc/bert-multilingual-pt-archive@refs/pr/2/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/lfcc/bert-multilingual-pt-archive/resolve/refs%2Fpr%2F2/tokenizer.json
1.96 MB
File too large to display, you can check the raw version instead.