Feature Extraction
Transformers
Safetensors
English
base_encoder
scientific-retrieval
dense-passage-retrieval
dual-encoder
talk2ref
speech-to-text
sentence-embedding
SBERT
Instructions to use s8frbroy/talk2ref_query_talk_encoder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use s8frbroy/talk2ref_query_talk_encoder with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="s8frbroy/talk2ref_query_talk_encoder")# Load model directly from transformers import BaseEncoderHF model = BaseEncoderHF.from_pretrained("s8frbroy/talk2ref_query_talk_encoder", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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embedding = model([query_text])
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print(embedding.shape) # (1, hidden_dim)
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embedding = model([query_text])
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print(embedding.shape) # (1, hidden_dim)
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