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", device_map="auto")# 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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 217b67c4759e3998b2db729d25a0110ef356b747e79696ea5f919becf3f8c118
- Size of remote file:
- 496 MB
- SHA256:
- b6372634f3e37f3449ef9a3dcb9eb7283dfee8048774d460190cde8398d1eb29
路
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