Add English models

README.md

@@ -3,6 +3,7 @@ license: other
 license_name: mixed
 language:
 - da
+- en
 tags:
 - whisper.cpp
 - ggml
@@ -18,10 +19,12 @@ The model files that the [Eckermann](https://github.com/bhark/eckermann) dictati
 | `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 |
 | `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 |
 | `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 |
+| `ggml-large-v3-turbo-q8_0.bin` | Whisper large-v3-turbo for English, GGML q8_0, unchanged | [ggerganov/whisper.cpp](https://huggingface.co/ggerganov/whisper.cpp) at `5359861`, from [openai/whisper-large-v3-turbo](https://huggingface.co/openai/whisper-large-v3-turbo) | MIT |
+| `punct-en/` | English punctuation and casing restoration, weights as f16 safetensors | [felflare/bert-restore-punctuation](https://huggingface.co/felflare/bert-restore-punctuation) at `954108a`. Based on [google-bert/bert-base-uncased](https://huggingface.co/google-bert/bert-base-uncased) (Apache 2.0) | MIT |
 
 ## How the files were made
 
 - 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`.
-- punct-da: [`bench/punct_model.py`](https://github.com/bhark/eckermann/blob/main/bench/punct_model.py) in the Eckermann repo.
+- punct-da and punct-en: [`bench/punct_model.py`](https://github.com/bhark/eckermann/blob/main/bench/punct_model.py) in the Eckermann repo.
 
 The licenses of the original models apply to these copies.

ggml-large-v3-turbo-q8_0.bin

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+size 874188075

punct-en/config.json

@@ -0,0 +1,58 @@
+{
+  "_name_or_path": "bert-base-uncased",
+  "architectures": [
+    "BertForTokenClassification"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "gradient_checkpointing": false,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 768,
+  "id2label": {
+    "0": "OU",
+    "1": "OO",
+    "2": ".O",
+    "3": "!O",
+    "4": ",O",
+    "5": ".U",
+    "6": "!U",
+    "7": ",U",
+    "8": ":O",
+    "9": ";O",
+    "10": ":U",
+    "11": "'O",
+    "12": "-O",
+    "13": "?O",
+    "14": "?U"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "OU": 0,
+    "OO": 1,
+    ".O": 2,
+    "!O": 3,
+    ",O": 4,
+    ".U": 5,
+    "!U": 6,
+    ",U": 7,
+    ":O": 8,
+    ";O": 9,
+    ":U": 10,
+    "'O": 11,
+    "-O": 12,
+    "?O": 13,
+    "?U": 14
+  },
+  "layer_norm_eps": 1e-12,
+  "max_position_embeddings": 512,
+  "model_type": "bert",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 12,
+  "pad_token_id": 0,
+  "position_embedding_type": "absolute",
+  "transformers_version": "4.6.0",
+  "type_vocab_size": 2,
+  "use_cache": true,
+  "vocab_size": 30522
+}

punct-en/model.safetensors

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