Instructions to use dmis-lab/phrase-reranker-multi-wq with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dmis-lab/phrase-reranker-multi-wq with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="dmis-lab/phrase-reranker-multi-wq", device_map="auto")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("dmis-lab/phrase-reranker-multi-wq") model = AutoModelForSequenceClassification.from_pretrained("dmis-lab/phrase-reranker-multi-wq", device_map="auto") - 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 sha256:3253130c4a5768495ad8b8d35650c5ccbf1feef9d9b0a51bb68cc9a852de8c81
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size 1421507808
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