Instructions to use FirmanBr/FirmanBrilianBert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FirmanBr/FirmanBrilianBert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="FirmanBr/FirmanBrilianBert")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("FirmanBr/FirmanBrilianBert") model = AutoModelForMaskedLM.from_pretrained("FirmanBr/FirmanBrilianBert") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1571495edafc93e2658f5f936624f182227ce36cd49ef0c9180d7ffc431a6c4e
- Size of remote file:
- 443 MB
- SHA256:
- d2467c3ca5da6a93fd8b7536c87995a32a1b5bf6e784bf11d1a68285ead5633b
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