jaeyong2

refaudio (GianDiego/latam-spanish-speech-orpheus-tts-24khz) License - neuphonic/neutts-air : https://choosealicense.com/licenses/apache-2.0/ Acknowledgement This research is supported by TPU Research Cloud program.

License - neuphonic/neutts-air : https://choosealicense.com/licenses/apache-2.0/ Acknowledgement This research is supported by TPU Research Cloud program.

License - neuphonic/neutts-air : https://choosealicense.com/licenses/apache-2.0/ Acknowledgement This research is supported by TPU Research Cloud program.

This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated. - Developed by: [More Information Needed] - Funded by [optional]: [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] - Repository: [More Information Needed] - Paper [optional]: [More Information Needed] - Demo [optional]: [More Information Needed] Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations. Carbon emissions can be estimated using the Machine Learning Impact calculator presented in Lacoste et al. (2019). - 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]

This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated. - Developed by: [More Information Needed] - Funded by [optional]: [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] - Repository: [More Information Needed] - Paper [optional]: [More Information Needed] - Demo [optional]: [More Information Needed] Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations. Carbon emissions can be estimated using the Machine Learning Impact calculator presented in Lacoste et al. (2019). - 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]

License - Qwen/Qwen3-1.7B : https://huggingface.co/Qwen/Qwen3-1.7B/blob/main/LICENSE Acknowledgement This research is supported by TPU Research Cloud program.

- H/W : colab A100 40GB - Data : jaeyong2/Ko-emb-PreView Accuracy - Alibaba-NLP/gte-multilingual-base : 0.974 - jaeyong2/gte-multilingual-base-Ko-embedding : 0.981 License - Alibaba-NLP/gte-multilingual-base : https://choosealicense.com/licenses/apache-2.0/

Model Detail Goal - Perform dynamic NER: given a sentence and a runtime schema of entity types, extract all matching entities. - Support multilingual input (English, Korean, Japanese, etc.). Limitation - The model tends to extract only one entity per type and may miss multiple mentions of the same type. - Overlapping or nested entities (e.g., “New York” vs “York”) may be unclear without explicit overlap policy. - Due to the generative nature of the model, original input words may be modified or paraphrased in the output. License - Qwen/Qwen3-0.6B : https://choosealicense.com/licenses/apache-2.0/ Acknowledgement This research is supported by TPU Research Cloud program.

This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated. - Developed by: [More Information Needed] - Funded by [optional]: [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] - Repository: [More Information Needed] - Paper [optional]: [More Information Needed] - Demo [optional]: [More Information Needed] Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations. Carbon emissions can be estimated using the Machine Learning Impact calculator presented in Lacoste et al. (2019). - 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]

License - K-intelligence/Midm-2.0-Mini-Instruct : https://huggingface.co/datasets/choosealicense/licenses/blob/main/markdown/mit.md Acknowledgement This research is supported by TPU Research Cloud program.

License - Qwen/Qwen2.5-1.5B-Instruct : https://huggingface.co/Qwen/Qwen2.5-1.5B-Instruct/blob/main/LICENSE Acknowledgement This research is supported by TPU Research Cloud program.

License Qwen/Qwen2.5-7B-Instruct : https://choosealicense.com/licenses/apache-2.0/ Acknowledgement This research is supported by TPU Research Cloud program.

License Qwen/Qwen2.5-7B-Instruct : https://choosealicense.com/licenses/apache-2.0/ Acknowledgement This research is supported by TPU Research Cloud program.