Instructions to use susnato/pop2piano_dev with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use susnato/pop2piano_dev with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="susnato/pop2piano_dev")# Load model directly from transformers import AutoModelForSpeechSeq2Seq model = AutoModelForSpeechSeq2Seq.from_pretrained("susnato/pop2piano_dev", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Update generation_config.json
Browse files- generation_config.json +1 -1
generation_config.json
CHANGED
|
@@ -2,7 +2,7 @@
|
|
| 2 |
"decoder_start_token_id": 0,
|
| 3 |
"eos_token_id": 1,
|
| 4 |
"pad_token_id": 0,
|
| 5 |
-
"return_dict_in_generate":
|
| 6 |
"max_length": 256,
|
| 7 |
"composer_to_feature_token":{
|
| 8 |
"composer1": 2052,
|
|
|
|
| 2 |
"decoder_start_token_id": 0,
|
| 3 |
"eos_token_id": 1,
|
| 4 |
"pad_token_id": 0,
|
| 5 |
+
"return_dict_in_generate": false,
|
| 6 |
"max_length": 256,
|
| 7 |
"composer_to_feature_token":{
|
| 8 |
"composer1": 2052,
|