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:
- 7a379a4499b0363079631cc405df62698d92c422f4d90b9a445b473a80099b35
- Size of remote file:
- 3.9 kB
- SHA256:
- 79c43939f28a3cf64b47f2489a57fe5312457b7de52668957ec24cc7d3c91788
路
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