Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
Urdu
whisper
urdu
Eval Results (legacy)
Instructions to use kingabzpro/whisper-tiny-urdu with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kingabzpro/whisper-tiny-urdu with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="kingabzpro/whisper-tiny-urdu")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("kingabzpro/whisper-tiny-urdu") model = AutoModelForSpeechSeq2Seq.from_pretrained("kingabzpro/whisper-tiny-urdu", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Upload processor
Browse files- README.md +3 -3
- special_tokens_map.json +7 -1
- tokenizer_config.json +0 -1
README.md
CHANGED
|
@@ -12,8 +12,8 @@ model-index:
|
|
| 12 |
- name: whisper-tiny-urdu
|
| 13 |
results:
|
| 14 |
- task:
|
| 15 |
-
name: Automatic Speech Recognition
|
| 16 |
type: automatic-speech-recognition
|
|
|
|
| 17 |
dataset:
|
| 18 |
name: common_voice_17_0
|
| 19 |
type: common_voice_17_0
|
|
@@ -21,9 +21,9 @@ model-index:
|
|
| 21 |
split: test[:600]
|
| 22 |
args: ur
|
| 23 |
metrics:
|
| 24 |
-
-
|
| 25 |
-
type: wer
|
| 26 |
value: 47.85287528005975
|
|
|
|
| 27 |
---
|
| 28 |
|
| 29 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
|
|
|
| 12 |
- name: whisper-tiny-urdu
|
| 13 |
results:
|
| 14 |
- task:
|
|
|
|
| 15 |
type: automatic-speech-recognition
|
| 16 |
+
name: Automatic Speech Recognition
|
| 17 |
dataset:
|
| 18 |
name: common_voice_17_0
|
| 19 |
type: common_voice_17_0
|
|
|
|
| 21 |
split: test[:600]
|
| 22 |
args: ur
|
| 23 |
metrics:
|
| 24 |
+
- type: wer
|
|
|
|
| 25 |
value: 47.85287528005975
|
| 26 |
+
name: Wer
|
| 27 |
---
|
| 28 |
|
| 29 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
special_tokens_map.json
CHANGED
|
@@ -122,7 +122,13 @@
|
|
| 122 |
"rstrip": false,
|
| 123 |
"single_word": false
|
| 124 |
},
|
| 125 |
-
"pad_token":
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 126 |
"unk_token": {
|
| 127 |
"content": "<|endoftext|>",
|
| 128 |
"lstrip": false,
|
|
|
|
| 122 |
"rstrip": false,
|
| 123 |
"single_word": false
|
| 124 |
},
|
| 125 |
+
"pad_token": {
|
| 126 |
+
"content": "<|endoftext|>",
|
| 127 |
+
"lstrip": false,
|
| 128 |
+
"normalized": false,
|
| 129 |
+
"rstrip": false,
|
| 130 |
+
"single_word": false
|
| 131 |
+
},
|
| 132 |
"unk_token": {
|
| 133 |
"content": "<|endoftext|>",
|
| 134 |
"lstrip": false,
|
tokenizer_config.json
CHANGED
|
@@ -12983,7 +12983,6 @@
|
|
| 12983 |
"extra_special_tokens": {},
|
| 12984 |
"model_max_length": 1024,
|
| 12985 |
"pad_token": "<|endoftext|>",
|
| 12986 |
-
"padding_side": "right",
|
| 12987 |
"processor_class": "WhisperProcessor",
|
| 12988 |
"return_attention_mask": false,
|
| 12989 |
"tokenizer_class": "WhisperTokenizer",
|
|
|
|
| 12983 |
"extra_special_tokens": {},
|
| 12984 |
"model_max_length": 1024,
|
| 12985 |
"pad_token": "<|endoftext|>",
|
|
|
|
| 12986 |
"processor_class": "WhisperProcessor",
|
| 12987 |
"return_attention_mask": false,
|
| 12988 |
"tokenizer_class": "WhisperTokenizer",
|