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Multi-hop Reasoning

# Multi-hop Reasoning

Flan T5 Tsa Thor Xl
MIT
A targeted sentiment analysis model fine-tuned from Flan-T5-XL, trained using the Three-Hop Reasoning (THoR) framework, specifically designed for English text
Large Language Model Transformers English
F
nicolay-r
34
3
C4ai Command R Plus Fp8
C4AI Command R+ is an open-weight 104 billion parameter research model with advanced capabilities, including Retrieval-Augmented Generation (RAG) and tool usage for automating complex tasks.
Large Language Model Transformers Supports Multiple Languages
C
FriendliAI
35
4
Huawei Noahtinybert General 6L 768 HotpotQA
Apache-2.0
This model is based on the TinyBERT architecture developed by Huawei Noah team, fine-tuned on the HotpotQA dataset, suitable for QA tasks.
Question Answering System Transformers English
H
MarcoYuTono
17
0
Bert Base Uncased Pf Wikihop
This is an adapter trained on the bert-base-uncased model, specifically designed for question answering tasks, using the Wikihop dataset for training.
Question Answering System English
B
AdapterHub
113
0
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