Instructions to use saburbutt/roberta_large_tweetqa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use saburbutt/roberta_large_tweetqa with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="saburbutt/roberta_large_tweetqa")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("saburbutt/roberta_large_tweetqa") model = AutoModelForQuestionAnswering.from_pretrained("saburbutt/roberta_large_tweetqa") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 79d4f56daab1e53fb215143898e0a9793fbc04087678a9296fa7f18a74722c90
- Size of remote file:
- 1.42 GB
- SHA256:
- 6839bd3c5dc315ad99b2f2c97ebaafd04905e89ba539efaaba367e09c5a38aaf
路
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