Update README.md

README.md

@@ -21,6 +21,49 @@ should probably proofread and complete it, then remove this comment. -->
 # Whisper_Cleverlytics
 
 
+## Usage
+To run the model, first install the Transformers library through the GitHub repo. 
+
+```python
+pip install --upgrade pip
+pip install --upgrade git+https://github.com/huggingface/transformers.git accelerate datasets[audio]
+```
+
+```python
+import torch
+from transformers import AutoModelForSpeechSeq2Seq, AutoProcessor, pipeline
+#from datasets import load_dataset
+
+device = "cuda:0" if torch.cuda.is_available() else "cpu"
+torch_dtype = torch.float16 if torch.cuda.is_available() else torch.float32
+model_id = "smerchi/Voice_Cleverlytics_large-v3"
+
+model = AutoModelForSpeechSeq2Seq.from_pretrained(
+    model_id, torch_dtype=torch_dtype, low_cpu_mem_usage=False, use_safetensors=True
+)
+model.to(device)
+
+processor = AutoProcessor.from_pretrained(model_id)
+
+pipe = pipeline(
+    "automatic-speech-recognition",
+    model=model,
+    tokenizer=processor.tokenizer,
+    feature_extractor=processor.feature_extractor,
+    max_new_tokens=128,
+    chunk_length_s=30,
+    batch_size=16,
+    return_timestamps=True,
+    torch_dtype=torch_dtype,
+    device=device,
+)
+
+audio="/content/audio.mp3"
+
+%time result = pipe(audio)
+print(result["text"],)
+```
+
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
@@ -34,4 +77,4 @@ The following hyperparameters were used during training:
 - Transformers 4.35.2
 - Pytorch 2.0.1+cu117
 - Datasets 2.16.0
-- Tokenizers 0.14.1
+- Tokenizers 0.14.1