# Multi-task NLP

Financeconnect 13B I1 GGUF
Apache-2.0
FinanceConnect-13B is a 13B-parameter large language model specialized in the financial domain, supporting natural language processing tasks such as summarization, classification, and translation.
Large Language Model English
F
mradermacher
261
1
Financeconnect 13B GGUF
Apache-2.0
FinanceConnect-13B is a 13B-parameter large language model specialized in the financial domain, supporting natural language processing tasks such as summarization, classification, and translation.
Large Language Model English
F
mradermacher
99
0
Stella En 400M V5 Cpu
MIT
stella_en_400M_v5_cpu is a model that performs excellently in multiple natural language processing tasks, especially in tasks such as classification, retrieval, clustering, and semantic text similarity.
Text Embedding
S
biggunnyso4
612
1
Luxia 21.4b Alignment V1.2
Apache-2.0
LUXIA-21.4B-Alignment is a large language model with 21.4 billion parameters, demonstrating outstanding performance across various natural language processing tasks.
Large Language Model Transformers English
L
saltlux
1,839
9
Llama 3 Refueled
An instruction fine-tuned model based on Llama3-8B, trained on over 2,750 datasets, suitable for various NLP tasks
Large Language Model Transformers English
L
refuelai
794
191
Dictabert Joint
State-of-the-art multi-task joint parsing BERT model for Modern Hebrew, supporting five tasks: prefix segmentation, morphological disambiguation, lexical analysis, syntactic parsing, and named entity recognition
Sequence Labeling Transformers Other
D
dicta-il
3,678
2
Deberta V3 Base Mnli Fever Anli
A zero-shot classification model based on DeBERTa-v3, supporting multi-task natural language inference (MNLI), FEVER, and ANLI tasks, converted to ONNX format for compatibility with Transformers.js
Large Language Model Transformers
D
Xenova
52
0
En Core Web Md
MIT
spaCy's medium-sized English processing pipeline, optimized for CPU, including POS tagging, dependency parsing, named entity recognition, etc.
Sequence Labeling English
E
spacy
433
7
Chinese Electra Base Generator
Apache-2.0
Chinese ELECTRA is a pre-trained model developed by the Harbin Institute of Technology-iFLYTEK Joint Lab (HFL) based on the ELECTRA model released by Google and Stanford University. It features a small parameter size and high performance.
Large Language Model Transformers Chinese
C
hfl
15
0
Luke Base
Apache-2.0
LUKE is a Transformer-based pre-trained model specifically designed for words and entities, providing deep contextual representations through entity-aware self-attention mechanisms.
Large Language Model Transformers English
L
studio-ousia
2,358
21
Stanza De
Apache-2.0
Stanza is an efficient toolkit for German text grammar analysis, providing syntactic parsing and entity recognition capabilities.
Sequence Labeling German
S
stanfordnlp
604
3
Bert Base Arabert
AraBERT is an Arabic pre-trained language model based on Google's BERT architecture, specifically designed for Arabic natural language understanding tasks.
Large Language Model Arabic
B
aubmindlab
74.71k
29
Luke Large
Apache-2.0
LUKE is a Transformer-based pre-trained model specifically designed for words and entities, providing deep contextual representations through entity-aware self-attention mechanisms.
Large Language Model Transformers English
L
studio-ousia
1,040
7
Stanza Fr
Apache-2.0
Stanza is a toolkit for grammatical analysis of multiple human languages, offering functionalities from raw text processing to syntactic parsing and entity recognition.
Sequence Labeling French
S
stanfordnlp
9,792
2
En Core Web Trf
MIT
A Transformer-based English NLP pipeline model providing high-performance named entity recognition, part-of-speech tagging, and dependency parsing.
Sequence Labeling English
E
spacy
185
47
Zh Core Web Trf
MIT
Chinese natural language processing pipeline based on Transformer, including part-of-speech tagging, dependency parsing, named entity recognition, etc.
Sequence Labeling Chinese
Z
spacy
67
5
En Core Web Lg
MIT
Large English language processing model provided by spaCy, optimized for CPU, featuring a complete natural language processing pipeline
Sequence Labeling English
E
spacy
129
31
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