Instructions to use nlp04/ES_roberta_30_prepro with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nlp04/ES_roberta_30_prepro with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="nlp04/ES_roberta_30_prepro")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("nlp04/ES_roberta_30_prepro") model = AutoModelForQuestionAnswering.from_pretrained("nlp04/ES_roberta_30_prepro") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c5647d04534c444eaf95bd5f865afdf20c3b0f5a47a984bed17905aceae6580b
- Size of remote file:
- 1.34 GB
- SHA256:
- 87c35aaf7084a778baea0f98a17566c0513044257a6f3477d0dfde2fafaded5a
路
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.