Instructions to use jpohhhh/biencoder_embedding with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jpohhhh/biencoder_embedding with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="jpohhhh/biencoder_embedding")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("jpohhhh/biencoder_embedding") model = AutoModel.from_pretrained("jpohhhh/biencoder_embedding", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Import Dict
Browse files- handler.py +1 -0
handler.py
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from sentence_transformers import SentenceTransformer, util
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class EndpointHandler():
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def __init__(self, path=""):
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from sentence_transformers import SentenceTransformer, util
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from typing import Dict, List, Any
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class EndpointHandler():
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def __init__(self, path=""):
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