Instructions to use salti/bert-base-multilingual-cased-finetuned-squad with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use salti/bert-base-multilingual-cased-finetuned-squad with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="salti/bert-base-multilingual-cased-finetuned-squad")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("salti/bert-base-multilingual-cased-finetuned-squad") model = AutoModelForQuestionAnswering.from_pretrained("salti/bert-base-multilingual-cased-finetuned-squad", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Layers
#1
by ryjovsky - opened
Hi,
Have you been adding another layers at the head of BERT or it's just fine-tuned BertForQuestionAnswering model.
No it's just the regular BertForQuestionAnswering model. I used the fine-tuning script provided in the transformers repo (https://wandb.ai/salti/mBERT_QA/runs/wkqzhrp2/code).
salti changed discussion status to closed