Instructions to use djovak/reranker-MiniLM-L6 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use djovak/reranker-MiniLM-L6 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="djovak/reranker-MiniLM-L6")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("djovak/reranker-MiniLM-L6") model = AutoModelForSequenceClassification.from_pretrained("djovak/reranker-MiniLM-L6", 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:a6e1fd85181a93a58bc33f65700f2ba34da3af2667f85cc57bcdf0f9f0092200
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size 90866412
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