Question Answering
Transformers
TensorBoard
Safetensors
Portuguese
bert
Generated from Trainer
portuguese
qa
Instructions to use rhaymison/bert-squad-portuguese with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rhaymison/bert-squad-portuguese with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "question-answering" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # pip install "transformers<5.0.0" from transformers import pipeline pipe = pipeline("question-answering", model="rhaymison/bert-squad-portuguese")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("rhaymison/bert-squad-portuguese") model = AutoModelForQuestionAnswering.from_pretrained("rhaymison/bert-squad-portuguese", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from rhaymison/bert-squad-portuguese: direct link, hf CLI and curl.
- Browser
- Download file 678 kB
-
https://huggingface.co/rhaymison/bert-squad-portuguese/resolve/main/tokenizer.json
- Command line
-
hf download hf://rhaymison/bert-squad-portuguese/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/rhaymison/bert-squad-portuguese/resolve/main/tokenizer.json
678 kB
File too large to display, you can check the raw version instead.