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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7821233b40fdc85e48a96c0e0dc1ccb8983d7f04c1076573cbeab39c1f3b8f19
- Size of remote file:
- 3.9 kB
- SHA256:
- c38f3f3295b1134541572044d1eb839d099d9a512007dc951729db864334c2ed
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