Delete .ipynb_checkpoints

.ipynb_checkpoints/README-checkpoint.md

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----
-license: mit
-pipeline_tag: feature-extraction
----
-
-# bge-m3-onnx-o4
-
-This is `bge-m3-onnx-o4` weights of the original [`BAAI/bge-m3`](https://huggingface.co/BAAI/bge-m3). Why is this model cool?
-
-- [x] Multi-Functionality: It can simultaneously perform the three common retrieval functionalities of embedding model: dense retrieval, multi-vector retrieval, and sparse retrieval.
-- [x] Multi-Linguality: It can support more than **100** working languages.
-- [x] Multi-Granularity: It is able to process inputs of different granularities, spanning from short sentences to long documents of up to **8192** tokens.
-
-## Usage
-
-### Dense Retrieval
-
-```
-# for cuda 
-pip install --upgrade-strategy eager optimum[onnxruntime]
-```
-
-```python
-
-from optimum.onnxruntime import ORTModelForFeatureExtraction
-from transformers import AutoTokenizer
-import torch
-
-model = ORTModelForFeatureExtraction.from_pretrained("hooman650/bge-m3-onnx-o4", provider="CUDAExecutionProvider")
-tokenizer = AutoTokenizer.from_pretrained("hooman650/bge-m3-onnx-o4")
-
-sentences = [
-    "English: The quick brown fox jumps over the lazy dog.",
-    "Spanish: El rápido zorro marrón salta sobre el perro perezoso.",
-    "French: Le renard brun rapide saute par-dessus le chien paresseux.",
-    "German: Der schnelle braune Fuchs springt über den faulen Hund.",
-    "Italian: La volpe marrone veloce salta sopra il cane pigro.",
-    "Japanese: 速い茶色の狐が怠惰な犬を飛び越える。",
-    "Chinese (Simplified): 快速的棕色狐狸跳过懒狗。",
-    "Russian: Быстрая коричневая лиса прыгает через ленивую собаку.",
-    "Arabic: الثعلب البني السريع يقفز فوق الكلب الكسول.",
-    "Hindi: तेज़ भूरी लोमड़ी आलसी कुत्ते के ऊपर कूद जाती है।"
-]
-
-encoded_input = tokenizer(sentences, padding=True, truncation=True, return_tensors='pt').to("cuda")
-
-# Get the embeddings
-out=model(**encoded_input,return_dict=True).last_hidden_state
-
-# normalize the embeddings
-dense_vecs = torch.nn.functional.normalize(out[:, 0], dim=-1)
-```
-### Multi-Vector (ColBERT)
-
-`coming soon...`
-
-