Instructions to use dmis-lab/phrase-reranker-multi-trec with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dmis-lab/phrase-reranker-multi-trec with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="dmis-lab/phrase-reranker-multi-trec")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("dmis-lab/phrase-reranker-multi-trec") model = AutoModelForSequenceClassification.from_pretrained("dmis-lab/phrase-reranker-multi-trec") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:f577b21753509f89f56ec517142ce05e4d49fe0657b5dec4d834e62bac5217b9
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size 1421507808
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