Question Answering
Transformers
Safetensors
bert
spanish
extractive-qa
distilbert
wwm-cased
colombia
mexico
news-dataset
fine-tuned-model
Instructions to use BlueAutomata/distill-bert-base-spanish-wwm-cased-news-qa-colombia-mexico with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BlueAutomata/distill-bert-base-spanish-wwm-cased-news-qa-colombia-mexico with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="BlueAutomata/distill-bert-base-spanish-wwm-cased-news-qa-colombia-mexico")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("BlueAutomata/distill-bert-base-spanish-wwm-cased-news-qa-colombia-mexico") model = AutoModelForQuestionAnswering.from_pretrained("BlueAutomata/distill-bert-base-spanish-wwm-cased-news-qa-colombia-mexico", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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