Instructions to use saburbutt/roberta_base_tweetqa_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use saburbutt/roberta_base_tweetqa_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="saburbutt/roberta_base_tweetqa_model")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("saburbutt/roberta_base_tweetqa_model") model = AutoModelForQuestionAnswering.from_pretrained("saburbutt/roberta_base_tweetqa_model") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a8a5ce95c960e5400a5f5cd43475a3f20486f325773d3e4863e24ac579edc007
- Size of remote file:
- 496 MB
- SHA256:
- cc72826ea095cd32800a0060098743ec9f7a5936c7055deb5e8174b1e490755e
路
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