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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
model v3: + real interview text (silver), zero-shot macro-F1 0.233->0.269
Browse files
onnx/model_quantized.onnx
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