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
File size: 134 Bytes
e1d04fa | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:1725e07dae25bd4031bb601ec6a332f899c548883506bddb3ce2146bbf27cbb3
size 440186221
|