Instructions to use nov3630/RLRetriever with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nov3630/RLRetriever with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="nov3630/RLRetriever")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("nov3630/RLRetriever") model = AutoModel.from_pretrained("nov3630/RLRetriever") - 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 sha256:9ec75e1a011c3e0a2f4e2264ebb39819b95f88f96305e5a96753c97be703932c
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size 503741296
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