Spaces:
Runtime error
Runtime error
Update app.py
Browse files
app.py
CHANGED
|
@@ -16,10 +16,10 @@ import librosa
|
|
| 16 |
import pyloudnorm as pyln
|
| 17 |
|
| 18 |
# Load the models and tokenizers
|
| 19 |
-
|
| 20 |
-
|
| 21 |
-
model1 = Wav2Vec2ForCTC.from_pretrained("facebook/wav2vec2-large-960h")
|
| 22 |
-
tokenizer1 = Wav2Vec2Tokenizer.from_pretrained("facebook/wav2vec2-large-960h")
|
| 23 |
# Loading the tokenizer and model from Hugging Face's model hub.
|
| 24 |
tokenizer = AutoTokenizer.from_pretrained("google/gemma-2b")
|
| 25 |
model = AutoModelForCausalLM.from_pretrained("google/gemma-2b", token=os.environ.get('HF_TOKEN'))
|
|
|
|
| 16 |
import pyloudnorm as pyln
|
| 17 |
|
| 18 |
# Load the models and tokenizers
|
| 19 |
+
model1 = Wav2Vec2ForCTC.from_pretrained("ai4bharat/indicwav2vec-hindi")
|
| 20 |
+
tokenizer1 = Wav2Vec2Tokenizer.from_pretrained("ai4bharat/indicwav2vec-hindi")
|
| 21 |
+
# model1 = Wav2Vec2ForCTC.from_pretrained("facebook/wav2vec2-large-960h")
|
| 22 |
+
# tokenizer1 = Wav2Vec2Tokenizer.from_pretrained("facebook/wav2vec2-large-960h")
|
| 23 |
# Loading the tokenizer and model from Hugging Face's model hub.
|
| 24 |
tokenizer = AutoTokenizer.from_pretrained("google/gemma-2b")
|
| 25 |
model = AutoModelForCausalLM.from_pretrained("google/gemma-2b", token=os.environ.get('HF_TOKEN'))
|