Instructions to use nejox/roberta-base-coffee20230113 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nejox/roberta-base-coffee20230113 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="nejox/roberta-base-coffee20230113")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("nejox/roberta-base-coffee20230113") model = AutoModelForQuestionAnswering.from_pretrained("nejox/roberta-base-coffee20230113", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 493dfb880bc4a995a362ec41f5f437bf5a0d585e901faada08e9e8697a8ed1df
- Size of remote file:
- 3.44 kB
- SHA256:
- 2cc2f91dd102d0c94d4e8ed410c7aefcc24c823e8ed6b069f131fccb83d33ca3
路
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.