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Add Edda q8_0, Silero VAD and punct-da

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README.md ADDED
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+ ---
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+ license: other
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+ license_name: mixed
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+ language:
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+ - da
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+ tags:
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+ - whisper.cpp
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+ - ggml
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+ - punctuation
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+ ---
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+
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+ # Eckermann models
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+
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+ The model files that the [Eckermann](https://github.com/bhark/eckermann) dictation app downloads on first run. The app pins each file by commit and SHA-256.
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+
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+ | File | What it is | Source | License |
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+ |---|---|---|---|
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+ | `ggml-edda-v0.2-q8_0.bin` | Edda v0.2 Danish speech recognition, converted to GGML and quantized to q8_0 | [danish-foundation-models/edda-v0.2](https://huggingface.co/danish-foundation-models/edda-v0.2) at `698f8d0`, by the Alexandra Institute in the CoRal project. Based on [openai/whisper-large-v3-turbo](https://huggingface.co/openai/whisper-large-v3-turbo) (MIT) | Apache 2.0 |
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+ | `ggml-silero-v6.2.0.bin` | Silero VAD v6.2.0, unchanged | [ggml-org/whisper-vad](https://huggingface.co/ggml-org/whisper-vad), from [snakers4/silero-vad](https://github.com/snakers4/silero-vad) | MIT |
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+ | `punct-da/` | Danish punctuation and casing restoration, weights as f16 safetensors | [Alvenir/bert-punct-restoration-da](https://huggingface.co/Alvenir/bert-punct-restoration-da) at `922d302`. Based on [Maltehb/danish-bert-botxo](https://huggingface.co/Maltehb/danish-bert-botxo) by BotXO (CC BY 4.0) | Apache 2.0 |
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+
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+ ## How the files were made
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+
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+ - Edda: `models/convert-h5-to-ggml.py` from [whisper.cpp](https://github.com/ggml-org/whisper.cpp) at `231638a`, then `whisper-quantize` with `q8_0`.
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+ - punct-da: [`bench/punct_model.py`](https://github.com/bhark/eckermann/blob/main/bench/punct_model.py) in the Eckermann repo.
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+
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+ The licenses of the original models apply to these copies.
ggml-edda-v0.2-q8_0.bin ADDED
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ggml-silero-v6.2.0.bin ADDED
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punct-da/config.json ADDED
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+ {
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+ "_name_or_path": "Maltehb/danish-bert-botxo",
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+ "architectures": [
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+ "BertForTokenClassification"
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+ ],
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+ "attention_probs_dropout_prob": 0.1,
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+ "classifier_dropout": null,
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+ "directionality": "bidi",
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+ "gradient_checkpointing": false,
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+ "hidden_act": "gelu",
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+ "hidden_dropout_prob": 0.1,
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+ "hidden_size": 768,
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+ "id2label": {
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+ "0": "OU",
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+ "1": "OO",
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+ "2": ".O",
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+ "3": "!O",
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+ "4": ",O",
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+ "5": ".U",
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+ "6": "!U",
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+ "7": ",U",
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+ "8": ":O",
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+ "9": ";O",
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+ "10": ":U",
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+ "11": "'O",
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+ "12": "-O",
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+ "13": "?O",
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+ "14": "?U"
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+ },
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+ "initializer_range": 0.02,
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+ "intermediate_size": 3072,
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+ "label2id": {
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+ "OU": 0,
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+ "OO": 1,
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+ ".O": 2,
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+ "!O": 3,
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+ ",O": 4,
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+ ".U": 5,
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+ "!U": 6,
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+ ",U": 7,
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+ ":O": 8,
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+ ";O": 9,
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+ ":U": 10,
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+ "'O": 11,
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+ "-O": 12,
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+ "?O": 13,
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+ "?U": 14
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+ },
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+ "layer_norm_eps": 1e-12,
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+ "max_position_embeddings": 512,
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+ "model_type": "bert",
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+ "num_attention_heads": 12,
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+ "num_hidden_layers": 12,
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+ "pad_token_id": 0,
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+ "pooler_fc_size": 768,
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+ "pooler_num_attention_heads": 12,
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+ "pooler_num_fc_layers": 3,
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+ "pooler_size_per_head": 128,
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+ "pooler_type": "first_token_transform",
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+ "position_embedding_type": "absolute",
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+ "torch_dtype": "float32",
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+ "transformers_version": "4.17.0",
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+ "type_vocab_size": 2,
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+ "use_cache": true,
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+ "vocab_size": 32000
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+ }
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punct-da/vocab.txt ADDED
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