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GiorgiSekhniashvili
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whisper-tiny-ka-02

Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
Georgian
whisper
Generated from Trainer
Eval Results
Inference Endpoints
Model card Files Metrics Community
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  1. README.md +201 -0
  2. merges.txt +0 -0
  3. preprocessor_config.json +14 -0
  4. special_tokens_map.json +139 -0
  5. tokenizer_config.json +981 -0
  6. vocab.json +0 -0
README.md ADDED
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+ ---
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+ library_name: transformers
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+ tags: []
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+ ---
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+
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+ # Model Card for Model ID
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+
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+ <!-- Provide a quick summary of what the model is/does. -->
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+ ## Model Details
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+ ### Model Description
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+ This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
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+ ## Uses
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+ <!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
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+ ## Bias, Risks, and Limitations
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+ ### Recommendations
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+ Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
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+
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+ ## How to Get Started with the Model
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+ Use the code below to get started with the model.
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+ [More Information Needed]
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+
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+ ## Training Details
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+ ### Training Data
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+ ### Training Procedure
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+ <!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
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+ #### Preprocessing [optional]
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+ [More Information Needed]
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+ #### Training Hyperparameters
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+ - **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
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+ [More Information Needed]
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+ ## Evaluation
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+ #### Factors
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+ [More Information Needed]
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+ ### Results
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+ #### Summary
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+ ## Model Examination [optional]
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+ <!-- Relevant interpretability work for the model goes here -->
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+ [More Information Needed]
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+ ## Environmental Impact
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+ Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
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+
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+ - **Hardware Type:** [More Information Needed]
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+ - **Hours used:** [More Information Needed]
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+ - **Cloud Provider:** [More Information Needed]
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+ - **Compute Region:** [More Information Needed]
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+ - **Carbon Emitted:** [More Information Needed]
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+
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+ ## Technical Specifications [optional]
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+
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+ ### Model Architecture and Objective
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+ [More Information Needed]
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+ ### Compute Infrastructure
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+ [More Information Needed]
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+ **APA:**
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+ ## Glossary [optional]
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+ <!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
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+ [More Information Needed]
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+ ## More Information [optional]
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+ [More Information Needed]
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+ ## Model Card Authors [optional]
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+ ## Model Card Contact
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+
merges.txt ADDED
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+ "<|oc|>",
935
+ "<|ka|>",
936
+ "<|be|>",
937
+ "<|tg|>",
938
+ "<|sd|>",
939
+ "<|gu|>",
940
+ "<|am|>",
941
+ "<|yi|>",
942
+ "<|lo|>",
943
+ "<|uz|>",
944
+ "<|fo|>",
945
+ "<|ht|>",
946
+ "<|ps|>",
947
+ "<|tk|>",
948
+ "<|nn|>",
949
+ "<|mt|>",
950
+ "<|sa|>",
951
+ "<|lb|>",
952
+ "<|my|>",
953
+ "<|bo|>",
954
+ "<|tl|>",
955
+ "<|mg|>",
956
+ "<|as|>",
957
+ "<|tt|>",
958
+ "<|haw|>",
959
+ "<|ln|>",
960
+ "<|ha|>",
961
+ "<|ba|>",
962
+ "<|jw|>",
963
+ "<|su|>",
964
+ "<|translate|>",
965
+ "<|transcribe|>",
966
+ "<|startoflm|>",
967
+ "<|startofprev|>",
968
+ "<|nocaptions|>",
969
+ "<|notimestamps|>"
970
+ ],
971
+ "bos_token": "<|endoftext|>",
972
+ "clean_up_tokenization_spaces": true,
973
+ "eos_token": "<|endoftext|>",
974
+ "errors": "replace",
975
+ "model_max_length": 1024,
976
+ "pad_token": "<|endoftext|>",
977
+ "processor_class": "WhisperProcessor",
978
+ "return_attention_mask": false,
979
+ "tokenizer_class": "WhisperTokenizer",
980
+ "unk_token": "<|endoftext|>"
981
+ }
vocab.json ADDED
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