Update README.md

README.md

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 ---
-license: openrail
-pipeline_tag: text-to-speech
-library_name: nemo
+license: mit
+language:
+- ja
+metrics:
+- accuracy
+pipeline_tag: audio-to-audio
+tags:
+- rvc
 ---
-# Model Card for Model ID
-
-<!-- Provide a quick summary of what the model is/does. -->
-
-This modelcard aims to be a base template for new models. It has been generated using [this raw template](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/modelcard_template.md?plain=1).
-
-## Model Details
-
-### Model Description
-
-<!-- Provide a longer summary of what this model is. -->
-
-
-
-- **Developed by:** [More Information Needed]
-- **Shared by [optional]:** [More Information Needed]
-- **Model type:** [More Information Needed]
-- **Language(s) (NLP):** [More Information Needed]
-- **License:** [More Information Needed]
-- **Finetuned from model [optional]:** [More Information Needed]
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-### Model Sources [optional]
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-<!-- Provide the basic links for the model. -->
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-- **Repository:** [More Information Needed]
-- **Paper [optional]:** [More Information Needed]
-- **Demo [optional]:** [More Information Needed]
-
-## Uses
-
-<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
-
-### Direct Use
-
-<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
-
-[More Information Needed]
-
-### Downstream Use [optional]
-
-<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
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-[More Information Needed]
-
-### Out-of-Scope Use
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-<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
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-[More Information Needed]
-
-## Bias, Risks, and Limitations
-
-<!-- This section is meant to convey both technical and sociotechnical limitations. -->
-
-[More Information Needed]
-
-### Recommendations
-
-<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
-
-Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
-
-## How to Get Started with the Model
-
-Use the code below to get started with the model.
-
-[More Information Needed]
-
-## Training Details
-
-### Training Data
-
-<!-- This should link to a Data Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
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-[More Information Needed]
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-### Training Procedure 
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-<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
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-#### Preprocessing [optional]
-
-[More Information Needed]
-
-
-#### Training Hyperparameters
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-- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
-
-#### Speeds, Sizes, Times [optional]
-
-<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
-
-[More Information Needed]
-
-## Evaluation
-
-<!-- This section describes the evaluation protocols and provides the results. -->
-
-### Testing Data, Factors & Metrics
-
-#### Testing Data
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-<!-- This should link to a Data Card if possible. -->
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-[More Information Needed]
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-#### Factors
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-<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
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-[More Information Needed]
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-#### Metrics
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-<!-- These are the evaluation metrics being used, ideally with a description of why. -->
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-[More Information Needed]
-
-### Results
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-[More Information Needed]
-
-#### Summary
-
-
-
-## Model Examination [optional]
-
-<!-- Relevant interpretability work for the model goes here -->
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-[More Information Needed]
-
-## Environmental Impact
-
-<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
-
-Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
-
-- **Hardware Type:** [More Information Needed]
-- **Hours used:** [More Information Needed]
-- **Cloud Provider:** [More Information Needed]
-- **Compute Region:** [More Information Needed]
-- **Carbon Emitted:** [More Information Needed]
-
-## Technical Specifications [optional]
-
-### Model Architecture and Objective
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-[More Information Needed]
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-### Compute Infrastructure
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-[More Information Needed]
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-#### Hardware
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-[More Information Needed]
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-#### Software
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-[More Information Needed]
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-## Citation [optional]
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-<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
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-**BibTeX:**
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-[More Information Needed]
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-**APA:**
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-[More Information Needed]
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-## Glossary [optional]
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-<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
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-[More Information Needed]
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-## More Information [optional]
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-[More Information Needed]
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-## Model Card Authors [optional]
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-[More Information Needed]
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-## Model Card Contact
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-[More Information Needed]
+# <center> RVC Genshin Impact Japanese Voice Model
+![model-cover.png](https://huggingface.co/ArkanDash/rvc-genshin-impact/resolve/main/model-cover.png)
+
+## About Retrieval based Voice Conversion (RVC)
+Learn more about Retrieval based Voice Conversion in this link below:
+[RVC WebUI](https://github.com/RVC-Project/Retrieval-based-Voice-Conversion-WebUI)
+
+## How to use? 
+Download the prezipped model and put to your RVC Project.
+
+Model test: [Google Colab](https://colab.research.google.com/drive/110kiMZTdP6Ri1lY9-NbQf17GVPPhHyeT?usp=sharing) / [RVC Models New](https://huggingface.co/spaces/ArkanDash/rvc-models-new) (Which is basically the same but hosted on spaces)
+
+## <center> INFO
+Model Created by ArkanDash<br />
+The voice that was used in this model belongs to Hoyoverse.<br />
+The voice I make to make this model was ripped from the game (3.6 - 4.0). 
+#### Total Models: 46 Models
+V1 Models: 19 <br />
+V2 Models: 27
+
+Duplicate:
+- Zhongli (v1 & v2)
+- Nahida (v1 & v2)
+
+Plans:
+- Character from fontaine.
+- v2 model recreation from v1 model.
+
+Note:
+- For faruzan, somehow the index file is smaller, Might retrain faruzan.
+Error message: `Converged (lack of improvement in inertia) at step 1152/48215` <br />
+- Furina has only 20 minutes of dataset. (Will update the model in the future when its 1 hour long)
+- New model will be created using v2 training, I'm no longer making v1 model.
+
+Have a request?<br />
+I accept genshin character request if you want it.
+Other request outside playable character:<br />
+- Greater Lord Rukkhadevata: 750 Epochs, 16 Batch size, 48k Sample rate. (10 minutes dataset)
+- Charlotte: 400 Epochs, 16 Batch size, 48k Sample rate. (18 minutes dataset)
+- La Signora 1k Epochs, 16 Batch size, 48k Sample rate. (8 minutes dataset)
+
+## <center> Model Training Information
+
+### V1 Model Training <br />
+##### This was trained on Original RVC.
+Pitch Extract using Harvest.<br />
+This model was trained with 100 epochs, 10 batch sizes, and a 40K sample rate (some models had a 48k sample rate).
+
+Every V1 model was trained more or less around 30 minutes of character voice.
+
+### V2 Model Training <br />
+##### This was trained on Mangio-Fork RVC.
+Pitch Extract using Crepe.<br />
+This model was trained with 100 epochs, 8 batch sizes, and a 48K sample rate. (some models had a 40k sample rate).
+
+Every V2 model was trained more or less around 60 minutes of character voice.
+
+## Warning
+I'm not responsible for the output of this model.
+Use wisely.