Token Classification
Transformers
ONNX
Safetensors
Portuguese
bert
speech-acts
atos-de-fala
dialogue-acts
portuguese
pt-br
bertimbau
bioes
Instructions to use lucianfialho/atos-de-fala-ptbr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lucianfialho/atos-de-fala-ptbr with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="lucianfialho/atos-de-fala-ptbr")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("lucianfialho/atos-de-fala-ptbr") model = AutoModelForTokenClassification.from_pretrained("lucianfialho/atos-de-fala-ptbr") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ad5fd40c89bfe098673ee964aafc87a30c33f3627e4b3c6b2aa0dd465f347cda
- Size of remote file:
- 434 MB
- SHA256:
- 1a4fb09f556aa4e7955f11bb038f38ba1b4630263f97b5d6dea731d89ef612a4
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