Instructions to use Sergio10IA/roberta-base-bne-Modelo_CF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Sergio10IA/roberta-base-bne-Modelo_CF with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="Sergio10IA/roberta-base-bne-Modelo_CF")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("Sergio10IA/roberta-base-bne-Modelo_CF") model = AutoModelForQuestionAnswering.from_pretrained("Sergio10IA/roberta-base-bne-Modelo_CF") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d207c75b8eab069088012d4df82d69328656fe5f62772c3bcfdba71ee7545936
- Size of remote file:
- 496 MB
- SHA256:
- c6298499cf611aa32e0270287f4c735b2e1566ab1db83b115a7785a7a44f8c2d
路
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