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Ai4Bharat/Indicbartss · Hugging Face

Di: Ava

IndicBARTSS_Telugu_FineTune This model is a fine-tuned version of ai4bharat/IndicBARTSS on the None dataset. It achieves the following results on the evaluation set: Loss: 0.1449 Model ai4bharat-IndicBARTSS like 0 Sleeping App FilesFiles Community main ai4bharat-IndicBARTSS 1 contributor History:1 commit tejas102 initial commit 19d6f66 verified3 months ago .gitattributes MultiIndicQuestionGenerationSS MultiIndicQuestionGenerationSS is a multilingual, sequence-to-sequence pre-trained model, a IndicBARTSS

AI4Bharat

? Supported Languages IndicTrans3 supports translation across a wide range of Indic languages. The primary set includes: Assamese, Bengali, Gujarati, Hindi, Kannada, Maithili, Malayalam, Indic Parler-TTS Indic Parler-TTS is a multilingual Indic extension of Parler-TTS Mini. It is a fine-tuned version of Indic Parler-TTS Pretrained, trained on a 1,806 hours multilingual Indic and

Airavata This model is a 7B OpenHathi model finetuned on IndicInstruct dataset which is a collection of instruction datasets (Anudesh, wikiHow, Flan v2, Dolly, Anthropic-HHH,

IndicBARTSS · Models · Dataloop

We’re on a journey to advance and democratize artificial intelligence through open source and open science.

We’re on a journey to advance and democratize artificial intelligence through open source and open science.

IndicBARTSS huggingface.co Url & ai4bharat IndicBARTSS github link, click to try the AI model (IndicBARTSS) demo, you can see the example of IndicBARTSS huggingface.co Model. ai4bharat / IndicBERTv2-MLM-only like 7 AI4Bharat 728 Fill-Mask Transformers PyTorch 26 languages bert indicbert2 ai4bharat multilingual License:mit Model card FilesFiles and versions

IndicBARTSS_Tamil_FineTune This model is a fine-tuned version of ai4bharat/IndicBARTSS on the None dataset. It achieves the following results on the evaluation set: Loss: 0.0943 Model

ai4bharat/IndicBERTv2-SS · Hugging Face

  • Fathima-Firose/IndicBARTSS_Tamil_FineTune · Hugging Face
  • ai4bharat/IndicF5 · Hugging Face
  • ai4bharat/indic-align · Datasets at Hugging Face

With reference to the model cards on HuggingFace for ai4bharat/IndicBARTSS and ai4bharat/IndicBART-XLSum, other than support for additional Indic languages, is there any

AI4Bharat is a research lab at IIT Madras which works on developing open-source datasets, tools, models and applications for Indian languages. We’re on a journey to advance and democratize artificial intelligence through open source and open science. ai4bharat/IndicBARTSS Text2Text Generation • Updated Mar 15, 2022• 188 • 4

We’re on a journey to advance and democratize artificial intelligence through open source and open science. ai4bharat / IndicBARTSS like 8 Text2Text Generation Transformers PyTorch mbart Inference Endpoints arxiv: 2109.02903 Tokenization: The model uses a sentencepiece-based tokenizer, which is different from the BPE-based tokenizer used in ==mBART==. Fine-tuning: IndicBARTSS can be fine-tuned for specific

Transformer Library by HuggingFace | by Yaduvanshiharsh | Medium

Discover amazing ML apps made by the community Indic bert is a multilingual ALBERT model that exclusively covers 12 major Indian languages. It is pre-trained on our novel corpus of around 9 billion

ai4bharat/IndicCorpV2 · Datasets at Hugging Face

IndicXlit like 0 AI4Bharat 598 License:mit Model card FilesFiles and versions Community AI4Bharat (Artificial-Intelligence-For-Bhārat) : Building AI solutions for India! About: The focus of AI4Bhārat, an initiative of IIT Madras, is on building open-source language AI for Indic IndicWav2Vec-Hindi This is a Wav2Vec2 style ASR model trained in fairseq and ported to Hugging Face. More details on datasets, training-setup and conversion to HuggingFace format

2016年 Hugging Face由Clément Delangue、Julien Chaumond和Thomas Wolf在纽约创立，初期专注于开发青少年聊天机器人应用。这个充满活力的团队以开放协作的理念为基石，开启了人

We’re on a journey to advance and democratize artificial intelligence through open source and open science. ? IndicTrans3-Beta Latest SOTA translation model from AI4Bharat Supports 22 Indic languages Document-level machine translation Optimized for real-world applications Enhanced with KV

We’re on a journey to advance and democratize artificial intelligence through open source and open science. We would like to hear from you if: You are using our resources. Please let us know how you are putting these resources to use. You have any feedback on these resources. License The

IndicBARTSS是一个多语言序列到序列的预训练模型，专注于印度语言和英语。它目前支持11种印度语言，并基于mBART架构。你可以使用IndicBARTSS模型通过有监督的训练数据对模型进 It currently supports 11 Indian languages and is finetuned on IndicBARTSS checkpoint. You can use MultiIndicHeadlineGenerationSS model to build natural language generation applications

from transformers import AutoModel import numpy as np import soundfile as sf # Load IndicF5 from Hugging Face repo_id = „ai4bharat/IndicF5“ model = AutoModel.from_pretrained(repo_id, Overview INDICVOICES is a dataset of natural and spontaneous speech containing a total of 19550 hours of read (8%), extempore (76%) and conversational (15%) audio from 29K

ai4bharat/IndicBARTSS Text2Text Generation • Updated Mar 15, 2022• 590 • 12

We’re on a journey to advance and democratize artificial intelligence through open source and open science.