Telugu Sentence Bert Nli

🚀 TeluguSBERT

這是一個在NLI數據集上訓練的泰盧固語BERT模型（l3cube - pune/telugu - bert）。
作為MahaNLP項目的一部分發布：https://github.com/l3cube - pune/MarathiNLP
一個支持主要印度語言和跨語言能力的該模型多語言版本可在此處查看 indic - sentence - bert - nli

一個更好的句子相似度模型（此模型的微調版本）可在此處查看：https://huggingface.co/l3cube - pune/telugu - sentence - similarity - sbert

關於數據集、模型和基線結果的更多詳細信息可在我們的論文中找到。

🚀 快速開始

模型基礎信息

示例展示

以下是一些使用示例：

pipeline_tag: sentence-similarity
tags:
- sentence-transformers
- feature-extraction
- sentence-similarity
- transformers
license: cc-by-4.0
language: te
widget:
- source_sentence: "ఒక మహిళ ఉల్లిపాయను కత్తిస్తోంది"
  sentences:
    - "ఒక స్త్రీ ఉల్లిపాయలు కోస్తోంది" 
    - "ఒక స్త్రీ బంగాళాదుంపను తొక్కడం"
    - "ఒక పిల్లి ఇంటి చుట్టూ నడుస్తోంది"
  example_title: "Example 1"

- source_sentence: "పిల్లల బృందం జంపింగ్ పోటీని నిర్వహిస్తోంది"
  sentences:
    - "పిల్లల గుంపు సరదాగా గడుపుతోంది"
    - "పిల్లలు పార్కులో ఆడుకోవడానికి ఇష్టపడతారు"
    - "ముగ్గురు అబ్బాయిలు నడుస్తున్నారు"
  example_title: "Example 2"

- source_sentence: "మీ రెండు ప్రశ్నలకు అవుననే సమాధానం వస్తుంది"
  sentences:
    - "రెండు ప్రశ్నలకు అవుననే సమాధానం వస్తోంది"
    - "మేము మీ అన్ని ప్రశ్నలకు సమాధానమిచ్చాము"
    - "నేను ఈ ప్రశ్నకు సమాధానం ఇస్తాను"
  example_title: "Example 3"

📦 安裝指南

當你安裝了sentence - transformers後，使用此模型會變得很容易：

pip install -U sentence-transformers

💻 使用示例

基礎用法（Sentence - Transformers）

安裝好sentence - transformers後，你可以像這樣使用模型：

from sentence_transformers import SentenceTransformer
sentences = ["This is an example sentence", "Each sentence is converted"]

model = SentenceTransformer('{MODEL_NAME}')
embeddings = model.encode(sentences)
print(embeddings)

高級用法（HuggingFace Transformers）

如果你沒有安裝sentence - transformers，可以按以下方式使用模型：首先，將輸入傳遞給transformer模型，然後對上下文詞嵌入應用正確的池化操作。

from transformers import AutoTokenizer, AutoModel
import torch


def cls_pooling(model_output, attention_mask):
    return model_output[0][:,0]


# Sentences we want sentence embeddings for
sentences = ['This is an example sentence', 'Each sentence is converted']

# Load model from HuggingFace Hub
tokenizer = AutoTokenizer.from_pretrained('{MODEL_NAME}')
model = AutoModel.from_pretrained('{MODEL_NAME}')

# Tokenize sentences
encoded_input = tokenizer(sentences, padding=True, truncation=True, return_tensors='pt')

# Compute token embeddings
with torch.no_grad():
    model_output = model(**encoded_input)

# Perform pooling. In this case, cls pooling.
sentence_embeddings = cls_pooling(model_output, encoded_input['attention_mask'])

print("Sentence embeddings:")
print(sentence_embeddings)

📚 詳細文檔

引用信息

@article{deode2023l3cube,
  title={L3Cube-IndicSBERT: A simple approach for learning cross-lingual sentence representations using multilingual BERT},
  author={Deode, Samruddhi and Gadre, Janhavi and Kajale, Aditi and Joshi, Ananya and Joshi, Raviraj},
  journal={arXiv preprint arXiv:2304.11434},
  year={2023}
}

@article{joshi2022l3cubemahasbert,
  title={L3Cube-MahaSBERT and HindSBERT: Sentence BERT Models and Benchmarking BERT Sentence Representations for Hindi and Marathi},
  author={Joshi, Ananya and Kajale, Aditi and Gadre, Janhavi and Deode, Samruddhi and Joshi, Raviraj},
  journal={arXiv preprint arXiv:2211.11187},
  year={2022}
}

相關論文鏈接

• 單語言印度SBERT論文
  
• 多語言印度SBERT論文
  

其他單語言印度句子BERT模型

• [馬拉地語SBERT](https://huggingface.co/l3cube - pune/marathi - sentence - bert - nli)
  
• [印地語SBERT](https://huggingface.co/l3cube - pune/hindi - sentence - bert - nli)
  
• [卡納達語SBERT](https://huggingface.co/l3cube - pune/kannada - sentence - bert - nli)
  
• [泰盧固語SBERT](https://huggingface.co/l3cube - pune/telugu - sentence - bert - nli)
  
• [馬拉雅拉姆語SBERT](https://huggingface.co/l3cube - pune/malayalam - sentence - bert - nli)
  
• [泰米爾語SBERT](https://huggingface.co/l3cube - pune/tamil - sentence - bert - nli)
  
• [古吉拉特語SBERT](https://huggingface.co/l3cube - pune/gujarati - sentence - bert - nli)
  
• [奧里亞語SBERT](https://huggingface.co/l3cube - pune/odia - sentence - bert - nli)
  
• [孟加拉語SBERT](https://huggingface.co/l3cube - pune/bengali - sentence - bert - nli)
  
• [旁遮普語SBERT](https://huggingface.co/l3cube - pune/punjabi - sentence - bert - nli)
  
• [印度SBERT（多語言）](https://huggingface.co/l3cube - pune/indic - sentence - bert - nli)
  

其他單語言相似度模型

• [馬拉地語相似度模型](https://huggingface.co/l3cube - pune/marathi - sentence - similarity - sbert)
  
• [印地語相似度模型](https://huggingface.co/l3cube - pune/hindi - sentence - similarity - sbert)
  
• [卡納達語相似度模型](https://huggingface.co/l3cube - pune/kannada - sentence - similarity - sbert)
  
• [泰盧固語相似度模型](https://huggingface.co/l3cube - pune/telugu - sentence - similarity - sbert)
  
• [馬拉雅拉姆語相似度模型](https://huggingface.co/l3cube - pune/malayalam - sentence - similarity - sbert)
  
• [泰米爾語相似度模型](https://huggingface.co/l3cube - pune/tamil - sentence - similarity - sbert)
  
• [古吉拉特語相似度模型](https://huggingface.co/l3cube - pune/gujarati - sentence - similarity - sbert)
  
• [奧里亞語相似度模型](https://huggingface.co/l3cube - pune/odia - sentence - similarity - sbert)
  
• [孟加拉語相似度模型](https://huggingface.co/l3cube - pune/bengali - sentence - similarity - sbert)
  
• [旁遮普語相似度模型](https://huggingface.co/l3cube - pune/punjabi - sentence - similarity - sbert)
  
• [印度相似度模型（多語言）](https://huggingface.co/l3cube - pune/indic - sentence - similarity - sbert)
  

📄 許可證

本模型使用的許可證為cc - by - 4.0。