Update README.md

README.md

@@ -13,17 +13,11 @@ tags: []
 
 ### Model Description
 
-<!-- Provide a longer summary of what this model is. -->
+This is a quantized model of the original version mohammed/whisper-small-arabic-cv-11
 
-This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
-
-- **Developed by:** [More Information Needed]
-- **Funded by [optional]:** [More Information Needed]
-- **Shared by [optional]:** [More Information Needed]
-- **Model type:** [More Information Needed]
-- **Language(s) (NLP):** [More Information Needed]
-- **License:** [More Information Needed]
-- **Finetuned from model [optional]:** [More Information Needed]
+- **Developed by:** Mohammed Bakheet
+- **Funded by [optional]:** Kalam Technology
+- **Language(s) (NLP):** Arabic, English
 
 ### Model Sources [optional]
 
@@ -35,31 +29,36 @@ This is the model card of a 🤗 transformers model that has been pushed on the
 
 ## Uses
 
-<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+This a quantized model that read arabic voice and transcribes/translate it into english
 
 ### Direct Use
 
-<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
+```python
+from optimum.onnxruntime import ORTModelForSpeechSeq2Seq
+from transformers import WhisperTokenizerFast, WhisperFeatureExtractor, pipeline
 
-[More Information Needed]
+model_name = 'mohammed/quantized-whisper-small' # folder name
+model = ORTModelForSpeechSeq2Seq.from_pretrained(model_name, export=False)
+tokenizer = WhisperTokenizerFast.from_pretrained(model_name)
+feature_extractor = WhisperFeatureExtractor.from_pretrained(model_name)
+forced_decoder_ids = tokenizer.get_decoder_prompt_ids(language="ar", task="transcribe")
 
-### Downstream Use [optional]
+pipe = pipeline('automatic-speech-recognition',
+                model=model,
+                tokenizer=tokenizer,
+                feature_extractor=feature_extractor,
+                model_kwargs={"forced_decoder_ids": forced_decoder_ids})
 
-<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
+# the file to be transcribed
+pipe('Recording.mp3')
 
-[More Information Needed]
+```
 
 ### Out-of-Scope Use
 
 <!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
 
-[More Information Needed]
-
-## Bias, Risks, and Limitations
-
-<!-- This section is meant to convey both technical and sociotechnical limitations. -->
-
-[More Information Needed]
+The model does a direct translation of Arabic speech, and doesn't do a direct transcription, we are still working on that.
 
 ### Recommendations