Update README.md
Browse files
README.md
CHANGED
@@ -133,6 +133,29 @@ tie_shorts_test = load_dataset("raianand/TIE_shorts", split="test")
|
|
133 |
tie_shorts_validation = load_dataset("raianand/TIE_shorts", split="validation")
|
134 |
```
|
135 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
136 |
|
137 |
## Dataset Structure
|
138 |
|
|
|
133 |
tie_shorts_validation = load_dataset("raianand/TIE_shorts", split="validation")
|
134 |
```
|
135 |
|
136 |
+
Inference using [Open AI Whisper](https://huggingface.co/openai/whisper-base) model, :
|
137 |
+
|
138 |
+
```python
|
139 |
+
|
140 |
+
from transformers import WhisperProcessor, WhisperForConditionalGeneration
|
141 |
+
|
142 |
+
|
143 |
+
# load model and processor
|
144 |
+
processor = WhisperProcessor.from_pretrained("openai/whisper-base")
|
145 |
+
model = WhisperForConditionalGeneration.from_pretrained("openai/whisper-base")
|
146 |
+
|
147 |
+
|
148 |
+
|
149 |
+
sample = tie_shorts_test[0]["audio"]
|
150 |
+
input_features = processor(sample["array"], sampling_rate=sample["sampling_rate"], return_tensors="pt").input_features
|
151 |
+
|
152 |
+
# generate token ids
|
153 |
+
predicted_ids = model.generate(input_features)
|
154 |
+
# decode token ids to text
|
155 |
+
transcription = processor.batch_decode(predicted_ids, skip_special_tokens=True)
|
156 |
+
print(transcription)
|
157 |
+
['the first time and therefore, because I find a lot of them have plagiarized therefore, I will not deduct or make any punishment for plagiarism then what the teacher tends to be arriving it as is arriving']
|
158 |
+
```
|
159 |
|
160 |
## Dataset Structure
|
161 |
|