Librarian Bot: Add base_model information to model
Browse filesThis pull request aims to enrich the metadata of your model by adding [`arijitx/wav2vec2-xls-r-300m-bengali`](https://huggingface.co/arijitx/wav2vec2-xls-r-300m-bengali) as a `base_model` field, situated in the `YAML` block of your model's `README.md`.
How did we find this information? We performed a regular expression match on your `README.md` file to determine the connection.
**Why add this?** Enhancing your model's metadata in this way:
- **Boosts Discoverability** - It becomes straightforward to trace the relationships between various models on the Hugging Face Hub.
- **Highlights Impact** - It showcases the contributions and influences different models have within the community.
For a hands-on example of how such metadata can play a pivotal role in mapping model connections, take a look at [librarian-bots/base_model_explorer](https://huggingface.co/spaces/librarian-bots/base_model_explorer).
This PR comes courtesy of [Librarian Bot](https://huggingface.co/librarian-bot). If you have any feedback, queries, or need assistance, please don't hesitate to reach out to [@davanstrien](https://huggingface.co/davanstrien). Your input is invaluable to us!
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---
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language:
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- bn
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-
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- bn-BD
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tags:
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- automatic-speech-recognition
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- bn
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@@ -15,6 +14,9 @@ datasets:
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metrics:
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- wer
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- cer
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model-index:
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- name: shahruk10/wav2vec2-xls-r-300m-bengali-commonvoice
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results:
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@@ -22,8 +24,8 @@ model-index:
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type: automatic-speech-recognition
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name: Speech Recognition
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dataset:
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type: common_voice_9_0
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name: Common Voice (Bengali)
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args: common_voice_bn
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metrics:
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- type: wer
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@@ -32,7 +34,6 @@ model-index:
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- type: cer
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value: 0.08078964599673999
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name: Validation CER with 5-gram LM
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license: apache-2.0
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---
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# Wav2Vec2-XLS-R-300M-Bengali-CommonVoice
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---
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language:
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- bn
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license: apache-2.0
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tags:
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- automatic-speech-recognition
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- bn
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metrics:
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- wer
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- cer
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+
language_bcp47:
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- bn-BD
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base_model: arijitx/wav2vec2-xls-r-300m-bengali
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model-index:
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- name: shahruk10/wav2vec2-xls-r-300m-bengali-commonvoice
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results:
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type: automatic-speech-recognition
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name: Speech Recognition
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dataset:
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name: Common Voice (Bengali)
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+
type: common_voice_9_0
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args: common_voice_bn
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metrics:
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- type: wer
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- type: cer
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value: 0.08078964599673999
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name: Validation CER with 5-gram LM
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---
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# Wav2Vec2-XLS-R-300M-Bengali-CommonVoice
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