🤖 fill-mask

bert-large-portuguese-cased

neuralmind/bert-large-portuguese-cased

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transformers
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Model Details
Full Model IDneuralmind/bert-large-portuguese-cased
Pipeline / Taskfill-mask
Librarytransformers
Downloads (all-time)1.3M
Likes71
Last Modified5/20/2021
Author / Orgneuralmind
PrivateNo — public
⚡ Quick Usage (Python)

Using the 🤗 Transformers library. Install with pip install transformers

from transformers import pipeline

# Load the model
pipe = pipeline("fill-mask", model="neuralmind/bert-large-portuguese-cased")

# Run inference
result = pipe("Your input here")
print(result)
🏷️ Tags
transformerspytorchjaxbertfill-maskptdataset:brWaClicense:mitendpoints_compatibledeploy:azureregion:us
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🚀 Use This Model

Access model files, inference API, and full documentation on Hugging Face.

Open on Hugging Face →Browse Model Files ↗← Browse All Models
🤖 Task: fill-mask

This model is designed for the fill-mask task. Explore more models for this use case.

All fill-mask Models →
📊 Popularity
Downloads1.3M
❤️ Community Likes71
🛠️ Requirements
  • Install: pip install transformers
  • Python 3.8+ recommended for Transformers.
  • GPU (CUDA) speeds up inference significantly.
  • Use model.half() for fp16 on limited VRAM.
👋 Need help with code?