Government Of India
A-
A
A+
Microsoft's - LLM2CLIP Openai-B-16
A model that integrates OpenAI's B-16 visual encoder with LLMs to enhance cross-modal understanding and retrieval.
About Model
LLM2CLIP-Openai-B-16 combines OpenAI's B-16 visual encoder with Large Language Models to improve the textual discriminability of output embeddings. Through fine-tuning in the caption space with contrastive learning, this model addresses the context window limitations of traditional CLIP text encoders. The result is enhanced performance in cross-modal tasks, such as image-text retrieval and zero-shot classification, by effectively processing longer and more complex textual inputs.
Microsoft's - LLM2CLIP Openai-B-16
Metadata
Apache 2.0
Weiquan Huang and Aoqi Wu and Yifan Yang and Xufang Luo and Yuqing Yang and Liang Hu and Qi Dai and Xiyang Dai and Dongdong Chen and Chong Luo and Lili Qiu
vision foundation model, feature backbone
Other
Open
Sector Agnostic
20/08/25 05:42:40
0
Activity Overview
0
3 
66 
0
Tags
- LLM2CLIP
- OpenAI
- B16
- CrossModal and ContrastiveLearning
License Control
Apache 2.0
More Models from Microsoft Corporation (India) Pvt. Ltd.
TAPEX: Large SQL Execution Model (Table Pre-training via Learning a Neural SQL Executor)
A large-sized TAPEX model pre-trained to simulate neural SQL execution, enabling the execution of SQL queries on given tables.
Transformers
SQLExecution
PreTrainedModel
TAPEX
DataRetrieval
NeuralExecutor
BART
- 0
- 6
- 0
177
Updated 8 month(s) ago
MICROSOFT CORPORATION (INDIA) PVT. LTD.
TAPEX: Large Model (Table Pre-training via Learning a Neural SQL Executor)
A large-sized pre-trained model designed to enhance table-based question answering and fact verification tasks.
BART
TableQuestionAnswering
FactVerification
PreTrainedModel
LargeModel
- 0
- 5
- 0
- 134
Updated 8 month(s) ago
MICROSOFT CORPORATION (INDIA) PVT. LTD.
TAPEX: TabFact Data enabled Large Finetuned (Table Pre-training via Learning a Neural SQL Executor) Model
A large-sized TAPEX model fine-tuned on the TabFact dataset, designed to enhance performance in table-based fact verification tasks.
FactVerification
NaturalLanguageProcessing
Transformers
BART
DataValidation
FineTunedModel
TabFact
TAPEX
- 0
- 5
- 0
- 101
Updated 8 month(s) ago
MICROSOFT CORPORATION (INDIA) PVT. LTD.
TAPEX (Table Pre-training via Learning a Neural SQL Executor) Large Finetuned Model
A large-sized TAPEX model fine-tuned on the WikiTableQuestions dataset, designed to enhance performance in table-based question answering tasks.
TAPEX
TableQuestionAnswering
NaturalLanguageProcessing
Transformers
BART
DataExtraction
FineTunedModel
WikiTableQuestions
- 0
- 2
- 0
- 136
Updated 8 month(s) ago
MICROSOFT CORPORATION (INDIA) PVT. LTD.
TAPEX: Base Model (Table Pre-training via Learning a Neural SQL Executor)
A base-sized pre-trained model designed to enhance table-based question answering and fact verification tasks.
BART
TableQuestionAnswering
FactVerification
PreTrainedModel
TabularData
- 0
- 3
- 0
- 95
Updated 8 month(s) ago
MICROSOFT CORPORATION (INDIA) PVT. LTD.
TAPEX: WikiTable Questions Data enabled Base Finetuned (Table Pre-training via Learning a Neural SQL Executor) Model
A base-sized TAPEX model fine-tuned on the WikiTableQuestions dataset, designed to enhance performance in table-based question answering tasks.
NaturalLanguageProcessing
TableQuestionAnswering
TAPEX
WikiTableQuestions
FineTunedModel
DataExtraction
BART
Transformers
- 0
- 3
- 0
- 124
Updated 8 month(s) ago
MICROSOFT CORPORATION (INDIA) PVT. LTD.
TAPEX: WikiSQL Data enabled Base Finetuned (Table Pre-training via Learning a Neural SQL Executor) Model
A large-sized TAPEX model fine-tuned on the WikiSQL dataset, optimized for translating natural language questions into SQL queries for effective table-based question answering.
Transformers
NaturalLanguageProcessing
SQLQueryGeneration
TAPEX
WikiSQL
FineTunedModel
DataRetrieval
BART
- 0
- 5
- 0
- 111
Updated 8 month(s) ago
MICROSOFT CORPORATION (INDIA) PVT. LTD.
TAPEX: TabFact Data enabled Base Finetuned (Table Pre-training via Learning a Neural SQL Executor) Model
A base-sized TAPEX model fine-tuned on the TabFact dataset, tailored for verifying the factual accuracy of textual statements against tabular data.
FactVerification
TAPEX
TabFact
FineTunedModel
DataValidation
BART
Transformers
NaturalLanguageProcessing
- 0
- 4
- 0
- 100
Updated 8 month(s) ago
MICROSOFT CORPORATION (INDIA) PVT. LTD.
TAPEX: Base Finetuned (Table Pre-training via Learning a Neural SQL Executor) Model
A base-sized TAPEX model fine-tuned on the WikiSQL dataset, designed to enhance performance in table-based question answering tasks.
DataExtraction
NaturalLanguageProcessing
Transformers
BART
TableQuestionAnswering
FineTunedModel
WikiSQL
TAPEX
- 0
- 5
- 0
- 139
Updated 8 month(s) ago
MICROSOFT CORPORATION (INDIA) PVT. LTD.
BiomedBERT - Domain-Specific Biomedical Language Model
A biomedical NLP model pre-trained from scratch on abstracts and full-text articles from PubMed and PubMed Central, achieving state-of-the-art performance on biomedical language understanding tasks.
Transformers
inference endpoints
exbert
Bert
English
JAX
PyTorch
Fill-Mask
- 0
- 88
- 0
- 1,275
Updated 11 month(s) ago
MICROSOFT CORPORATION (INDIA) PVT. LTD.
© 2026 - Copyright AIKosh. All rights reserved. This portal is developed by National e-Governance Division for AIKosh mission.