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")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("melll-uff/bertweetbr") model = AutoModelForMaskedLM.from_pretrained("melll-uff/bertweetbr") - Notebooks
- Google Colab
- Kaggle
Fernando Carneiro commited on
Commit ·
786a2bc
1
Parent(s): 1332e64
README
Browse files
README.md
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@@ -40,6 +40,8 @@ tokenizer = AutoTokenizer.from_pretrained('melll-uff/bertweetbr', normalization=
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tokenizer.demojizer = lambda x: demojize(x, language='pt')
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```
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```python
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from transformers import pipeline
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tokenizer.demojizer = lambda x: demojize(x, language='pt')
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```
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### Mask Filling with Pipeline
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```python
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from transformers import pipeline
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