Instructions to use melll-uff/bertweetbr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use melll-uff/bertweetbr with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="melll-uff/bertweetbr")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("melll-uff/bertweetbr") model = AutoModelForMaskedLM.from_pretrained("melll-uff/bertweetbr", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Fernando Carneiro commited on
Commit ·
b2b2bde
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Parent(s): 487659f
For Masked Language
Browse files- config.json +2 -2
- pytorch_model.bin +2 -2
config.json
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"_name_or_path": "
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"architectures": [
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"attention_probs_dropout_prob": 0.1,
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"bos_token_id": 0,
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"_name_or_path": "melll-uff/bertweetbr",
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"architectures": [
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"RobertaForMaskedLM"
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"attention_probs_dropout_prob": 0.1,
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"bos_token_id": 0,
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pytorch_model.bin
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