Instructions to use TheOriginalMarcelo/bertimbau_base_enem with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use TheOriginalMarcelo/bertimbau_base_enem with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="TheOriginalMarcelo/bertimbau_base_enem")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("TheOriginalMarcelo/bertimbau_base_enem") model = AutoModelForSequenceClassification.from_pretrained("TheOriginalMarcelo/bertimbau_base_enem", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from TheOriginalMarcelo/bertimbau_base_enem: direct link, hf CLI and curl.
- Browser
- Download file 678 kB
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https://huggingface.co/TheOriginalMarcelo/bertimbau_base_enem/resolve/main/tokenizer.json
- Command line
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hf download hf://TheOriginalMarcelo/bertimbau_base_enem/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/TheOriginalMarcelo/bertimbau_base_enem/resolve/main/tokenizer.json
678 kB
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