Instructions to use Forturne/row_retriever_19 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Forturne/row_retriever_19 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="Forturne/row_retriever_19")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("Forturne/row_retriever_19") model = AutoModel.from_pretrained("Forturne/row_retriever_19") - 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 sha256:46a237c920cbb9ae581d5f0cab05fcbb49d868d0f187183bc02de8fbd2974436
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size 442494816
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