Instructions to use neuralmind/bert-base-portuguese-cased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use neuralmind/bert-base-portuguese-cased with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="neuralmind/bert-base-portuguese-cased")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("neuralmind/bert-base-portuguese-cased") model = AutoModelForMaskedLM.from_pretrained("neuralmind/bert-base-portuguese-cased") - Inference
- Notebooks
- Google Colab
- Kaggle
local-bertimbau
#9 opened 8 months ago
by
g-mra
Fix: Replace incompatible model loading in example code
2
#8 opened 11 months ago
by
anon-repair-bot
Add exported openvino model 'openvino_model_qint8_quantized.xml'
#7 opened over 1 year ago
by
ArthurGprog
Aspect Based Sentiment Analysis (ABSA)?
#6 opened about 2 years ago
by
deniseiras
Adding `safetensors` variant of this model
#5 opened about 3 years ago
by
SFconvertbot
ValueError: Layer #0 (named "bert") expects 199 weight(s), but the saved weights have 197 element(s).
#4 opened over 3 years ago
by
eduartheinen
Strange results for the Mask Task
#3 opened over 3 years ago
by
Ramurti
The model's pipeline returns an error
3
#2 opened almost 4 years ago
by
Eduarda