Instructions to use nlpotato/roberta-base-e5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nlpotato/roberta-base-e5 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="nlpotato/roberta-base-e5")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("nlpotato/roberta-base-e5") model = AutoModelForQuestionAnswering.from_pretrained("nlpotato/roberta-base-e5", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 32d5c0d9bd2a434ad67d803d2d82185c0d4d7c3cdef6621d100d19379425229c
- Size of remote file:
- 440 MB
- SHA256:
- 1725e07dae25bd4031bb601ec6a332f899c548883506bddb3ce2146bbf27cbb3
路
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