Text Classification
Transformers
PyTorch
Safetensors
Portuguese
Trained with AutoTrain
Eval Results (legacy)
Instructions to use inctdd/told_br_binary_sm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use inctdd/told_br_binary_sm with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="inctdd/told_br_binary_sm")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("inctdd/told_br_binary_sm", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from inctdd/told_br_binary_sm: direct link, hf CLI and curl.
- Browser
- Download file 436 MB
-
https://huggingface.co/inctdd/told_br_binary_sm/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://inctdd/told_br_binary_sm/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/inctdd/told_br_binary_sm/resolve/main/pytorch_model.bin
436 MB
- Xet hash:
- 632b6c1da4cabb6dc16497fdbeface7247277b3bb6487b1f46b4ab52f92da699
- Size of remote file:
- 436 MB
- SHA256:
- 8796a64bafe0a031e4c2a0dc490bd73467a79f6e56ba1bc8bdd00cd85eb0a8c3
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