bert-large-portuguese-cased
817.8K
69
512
Small context
332M
2 languages
license:mit
by
neuralmind
Language Model
OTHER
Good
818K downloads
Production-ready
Edge AI:
Mobile
Laptop
Server
1GB+ RAM
Mobile
Laptop
Server
Quick Summary
--- language: pt license: mit tags: - bert - pytorch datasets: - brWaC ---
Device Compatibility
Mobile
4-6GB RAM
Laptop
16GB RAM
Server
GPU
Minimum Recommended
1GB+ RAM
Code Examples
{'score': 0.015246033668518066,pythonpytorch
import torch
model = AutoModel.from_pretrained('neuralmind/bert-large-portuguese-cased')
input_ids = tokenizer.encode('Tinha uma pedra no meio do caminho.', return_tensors='pt')
with torch.no_grad():
outs = model(input_ids)
encoded = outs[0][0, 1:-1] # Ignore [CLS] and [SEP] special tokens
# encoded.shape: (8, 1024)
# tensor([[ 1.1872, 0.5606, -0.2264, ..., 0.0117, -0.1618, -0.2286],
# [ 1.3562, 0.1026, 0.1732, ..., -0.3855, -0.0832, -0.1052],
# [ 0.2988, 0.2528, 0.4431, ..., 0.2684, -0.5584, 0.6524],
# ...,
# [ 0.3405, -0.0140, -0.0748, ..., 0.6649, -0.8983, 0.5802],
# [ 0.1011, 0.8782, 0.1545, ..., -0.1768, -0.8880, -0.1095],
# [ 0.7912, 0.9637, -0.3859, ..., 0.2050, -0.1350, 0.0432]])Deploy This Model
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