Instructions to use nlpotato/roberta-base-e15 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nlpotato/roberta-base-e15 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="nlpotato/roberta-base-e15")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("nlpotato/roberta-base-e15") model = AutoModelForQuestionAnswering.from_pretrained("nlpotato/roberta-base-e15", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 125759419ca2b5a076db0558ee18bc12a2b737228abec297ca85a53ed0dce3ff
- Size of remote file:
- 440 MB
- SHA256:
- f3ead3a509761d2da95989681a7f87664657062e9562688fa8d54b3fac33e922
路
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