Instructions to use luischir/bert-base-spanish-wwm-cased-finetuned-quales with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use luischir/bert-base-spanish-wwm-cased-finetuned-quales with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="luischir/bert-base-spanish-wwm-cased-finetuned-quales")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("luischir/bert-base-spanish-wwm-cased-finetuned-quales") model = AutoModelForQuestionAnswering.from_pretrained("luischir/bert-base-spanish-wwm-cased-finetuned-quales", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 02adc46bc67fc351759462481ac29866f08ccc737fdbd35397efef3caef4d55b
- Size of remote file:
- 4.54 kB
- SHA256:
- 3bb16c7a1023b9c432da703c1f6d2a0dcb0e31c118b078079e7a251ac6669985
路
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