Updated contribution details in the HF Readme

#8
by chintsp - opened
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  1. README.md +11 -1
README.md CHANGED
@@ -29,7 +29,17 @@ Not sure where to start? We recommend first trying our models in our Google AI E
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  # Community Contributions
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- Are we missing your favorite model? You can convert and run [PyTorch](https://github.com/google-ai-edge/ai-edge-torch), [TensorFlow](https://ai.google.dev/edge/litert/models/convert_tf), or [JAX](https://ai.google.dev/edge/litert/models/convert_jax) models to the classic TFLite format using the LiteRT conversion and optimization tools. Or for LLMs, you can use the [LiteRT Torch Generative API](https://github.com/google-ai-edge/ai-edge-torch/tree/main/ai_edge_torch/generative). When your model is ready, join the LiteRT community org and upload the model here for others to try!
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  # Community Contributions
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+ Are we missing your favorite model? You can convert and run [PyTorch](https://github.com/google-ai-edge/litert-torch), [TensorFlow](https://ai.google.dev/edge/litert/models/convert_tf), or [JAX](https://ai.google.dev/edge/litert/models/convert_jax) models to the classic TFLite format using the LiteRT conversion and optimization tools. Or for LLMs, you can use the [LiteRT Torch Generative API](https://github.com/google-ai-edge/ai-edge-torch/tree/main/ai_edge_torch/generative). When your model is ready, join the LiteRT community org and upload the model here for others to try!
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+ ## Submission Guidelines
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+ * **Model Conversion:** Your model must be converted using the LiteRT-Torch or Generative API in `.tflite` or `.litertlm` formats.
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+ * **Location:** All contributor repositories must be prefixed with `contrib-` in the [community contribution folder](https://huggingface.co/collections/litert-community/community-contribution) (e.g., `LiteRT-Community/community-contribution/contrib-mobile-bert`).
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+ * **Licensing:** If your model has a license, it must be either an Apache 2.0 or MIT open-source license. Models with no license are also accepted.
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+ * **Data Provenance and Privacy:** If applicable, you must include a summary of the model's training data in your submission. Additionally, you must provide confirmation that all Personally Identifiable Information (PII) has been scrubbed from the data.
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+ ## Policies & Support
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+ * **Content Policy:** All uploaded models must fully comply with the [Hugging Face content guidelines](https://huggingface.co/collections/litert-community/community-contribution).
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+ * **Community Moderation:** The Google AI Edge team will not actively moderate community contributions to this community, except for reactive removal in clear cases of spam or abuse.
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+ * **Conversion Requests:** In the event that you cannot successfully convert a `.tflite` or `.litertlm` model, you may submit a PR requesting conversion support from the LiteRT team.