Instructions to use tcepi/helbert-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tcepi/helbert-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="tcepi/helbert-base")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("tcepi/helbert-base") model = AutoModel.from_pretrained("tcepi/helbert-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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- google-bert/bert-base-uncased
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pipeline_tag: fill-mask
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datasets:
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# HelBERT: Modelo BERT para Contratações Públicas
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- google-bert/bert-base-uncased
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pipeline_tag: fill-mask
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datasets:
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- tcepi/bidCorpus
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# HelBERT: Modelo BERT para Contratações Públicas
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