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# Multilingual zero-shot classification
Moritzlaurer Mdeberta V3 Base Mnli Xnli
MIT
Natural language inference model supporting 100 languages, suitable for multilingual zero-shot classification tasks
Text Classification Supports Multiple Languages
M
MaagDeveloper
47
0
Xlm Roberta Large English Cap Minor Platforms
MIT
Multilingual text classification model based on xlm-roberta-large architecture, specifically designed for minor topic coding in the Comparative Agendas Project
Text Classification Other
X
poltextlab
18
0
Multilingual E5 Large Instruct Xnli
MIT
A multilingual text embedding model fine-tuned on the XNLI dataset based on intfloat/multilingual-e5-large-instruct, supporting zero-shot classification tasks in 15 languages
Text Classification
Transformers Supports Multiple Languages
Transformers Supports Multiple LanguagesM
mjwong
82
0
Comprehend It Multilingual T5 Base
Apache-2.0
A multilingual zero-shot classification model based on mT5-base, supporting bidirectional text classification in nearly 100 languages.
Text Classification Transformers Supports Multiple Languages
Transformers Supports Multiple LanguagesC
knowledgator
420
25
Nllb Clip Base Siglip
NLLB-CLIP-SigLIP is a multilingual vision-language model that combines the text encoder from NLLB and the image encoder from SigLIP, supporting 201 languages.
Text-to-Image
N
visheratin
478
1
Nllb Clip Large Siglip
NLLB-CLIP-SigLIP is a multilingual vision-language model that combines the text encoder of the NLLB model and the image encoder of the SigLIP model, supporting 201 languages.
Text-to-Image
N
visheratin
384
5
Nllb Clip Large Oc
NLLB-CLIP is a multilingual vision-language model combining the NLLB model's text encoder with CLIP's image encoder, supporting 201 languages.
Text-to-Image
N
visheratin
28
2
Nllb Clip Base Oc
NLLB-CLIP is a multilingual vision-language model combining the NLLB text encoder with the CLIP image encoder, supporting 201 languages
Text-to-Image
N
visheratin
371
1
Multilingual E5 Base Xnli
MIT
This model is a fine-tuned version of multilingual-e5-base on the XNLI dataset, supporting multilingual zero-shot classification tasks.
Text Classification Transformers Supports Multiple Languages
Transformers Supports Multiple LanguagesM
mjwong
18
0
Ernie M Large Mnli Xnli
Apache-2.0
Natural language inference model supporting 100 languages, suitable for multilingual zero-shot classification tasks
Large Language Model Transformers Supports Multiple Languages
Transformers Supports Multiple LanguagesE
MoritzLaurer
94
18
Multilingual MiniLMv2 L12 Mnli Xnli
MIT
A multilingual natural language inference model supporting over 100 languages, suitable for zero-shot classification tasks
Text Classification Transformers Supports Multiple Languages
Transformers Supports Multiple LanguagesM
MoritzLaurer
245
6
Multilingual MiniLMv2 L6 Mnli Xnli
MIT
Multilingual zero-shot classification model supporting 100+ languages, lightweight through distillation
Text Classification Transformers Supports Multiple Languages
Transformers Supports Multiple LanguagesM
MoritzLaurer
2,521
39
Xlm V Base Mnli Xnli
MIT
A multilingual natural language inference model based on XLM-V-base, supporting zero-shot classification tasks in 116 languages
Large Language Model Transformers Supports Multiple Languages
Transformers Supports Multiple LanguagesX
MoritzLaurer
293
22
Mdeberta V3 Base Xnli Multilingual Nli 2mil7
MIT
Multilingual natural language inference model based on mDeBERTa-v3-base, supporting zero-shot classification in 100 languages
Large Language Model Transformers Supports Multiple Languages
Transformers Supports Multiple LanguagesM
MoritzLaurer
186.62k
316
Mt5 Large Finetuned Mnli Xtreme Xnli
Apache-2.0
Fine-tuned on multilingual T5 model, specifically designed for zero-shot text classification tasks, supporting 15 languages
Large Language Model Transformers Supports Multiple Languages
Transformers Supports Multiple LanguagesM
alan-turing-institute
964
13
Xlm Roberta Large Xnli Anli
MIT
Based on the XLM-RoBERTa-large model, fine-tuned on multiple natural language inference datasets, and can be directly used for zero-shot classification tasks.
Large Language Model Transformers Other
Transformers OtherX
vicgalle
8,267
29
Mdeberta V3 Base Mnli Xnli
MIT
A multilingual natural language inference model supporting 100 languages, suitable for zero-shot classification tasks
Text Classification Transformers Supports Multiple Languages
Transformers Supports Multiple LanguagesM
MoritzLaurer
604.03k
252
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