Instructions to use enriquesaou/roberta_es_v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use enriquesaou/roberta_es_v2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="enriquesaou/roberta_es_v2")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("enriquesaou/roberta_es_v2") model = AutoModelForQuestionAnswering.from_pretrained("enriquesaou/roberta_es_v2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d03d5a86b7e6269b0bc8521999d2959b6f04210fe605bd6fc44afc8f360d9b71
- Size of remote file:
- 5.05 kB
- SHA256:
- 3f95a7cd4628f482e3cf978b59bf4dd0d558dbccd086fb49ee0ed98b7fb49337
路
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