Instructions to use Forturne/row_retriever_33 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Forturne/row_retriever_33 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="Forturne/row_retriever_33")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("Forturne/row_retriever_33") model = AutoModel.from_pretrained("Forturne/row_retriever_33") - 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:a1fd22f6cd4872193b65d19ec36a1066edf0a73367a6c0b85277469852d356f9
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size 442494816
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