Instructions to use ibm-research/re2g-reranker-triviaqa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ibm-research/re2g-reranker-triviaqa with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ibm-research/re2g-reranker-triviaqa")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ibm-research/re2g-reranker-triviaqa") model = AutoModelForSequenceClassification.from_pretrained("ibm-research/re2g-reranker-triviaqa") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ba5815e118cc107370d40aaefc311d92ad9f73e11c3f61ebab26845c371651a3
- Size of remote file:
- 438 MB
- SHA256:
- 213693224e2ba8c71b179d3eafc6276dc1001c489f98b6c9c40f0fe67c0baf25
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