Instructions to use enriquesaou/roberta_es_v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use enriquesaou/roberta_es_v1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="enriquesaou/roberta_es_v1")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("enriquesaou/roberta_es_v1") model = AutoModelForQuestionAnswering.from_pretrained("enriquesaou/roberta_es_v1") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 29bb39e65351bcedc55b90df964fb03b71727ff5e655aa863a805ce806eae404
- Size of remote file:
- 4.92 kB
- SHA256:
- f367222037c84e47dd1fcad584f94231763b25d35787605a4e7d3a8cb4b6a2ab
路
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