- Libraries
- Transformers
How to use MidnightPhreaker/Text_Embedder-ONNX-INT8 with Transformers:
# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("MidnightPhreaker/Text_Embedder-ONNX-INT8", trust_remote_code=True, dtype="auto") - sentence-transformers
How to use MidnightPhreaker/Text_Embedder-ONNX-INT8 with sentence-transformers:
from sentence_transformers import SentenceTransformer
model = SentenceTransformer("MidnightPhreaker/Text_Embedder-ONNX-INT8", trust_remote_code=True)
sentences = [
"That is a happy person",
"That is a happy dog",
"That is a very happy person",
"Today is a sunny day"
]
embeddings = model.encode(sentences)
similarities = model.similarity(embeddings, embeddings)
print(similarities.shape)
# [4, 4] - Transformers.js
How to use MidnightPhreaker/Text_Embedder-ONNX-INT8 with Transformers.js:
// npm i @huggingface/transformers
import { pipeline } from '@huggingface/transformers';
// Allocate pipeline
const pipe = await pipeline('sentence-similarity', 'MidnightPhreaker/Text_Embedder-ONNX-INT8'); - Notebooks
- Google Colab
- Kaggle
