Instructions to use tolgaaktas/distilled_whisper-small_teacher_whisper-large-v3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tolgaaktas/distilled_whisper-small_teacher_whisper-large-v3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="tolgaaktas/distilled_whisper-small_teacher_whisper-large-v3")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("tolgaaktas/distilled_whisper-small_teacher_whisper-large-v3") model = AutoModelForSpeechSeq2Seq.from_pretrained("tolgaaktas/distilled_whisper-small_teacher_whisper-large-v3", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Model save
Browse files- README.md +3 -3
- generation_config.json +1 -1
- model.safetensors +1 -1
README.md
CHANGED
|
@@ -12,7 +12,7 @@ model-index:
|
|
| 12 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
| 13 |
should probably proofread and complete it, then remove this comment. -->
|
| 14 |
|
| 15 |
-
[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/tolgaaktas/Distill-ASR-
|
| 16 |
# distilled_whisper-small_teacher_whisper-large-v3
|
| 17 |
|
| 18 |
This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on an unknown dataset.
|
|
@@ -40,8 +40,8 @@ The following hyperparameters were used during training:
|
|
| 40 |
- seed: 42
|
| 41 |
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
|
| 42 |
- lr_scheduler_type: linear
|
| 43 |
-
- lr_scheduler_warmup_steps:
|
| 44 |
-
- training_steps:
|
| 45 |
|
| 46 |
### Framework versions
|
| 47 |
|
|
|
|
| 12 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
| 13 |
should probably proofread and complete it, then remove this comment. -->
|
| 14 |
|
| 15 |
+
[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/tolgaaktas/Distill-ASR-Argmax-Final-Train/runs/eqc14w4x)
|
| 16 |
# distilled_whisper-small_teacher_whisper-large-v3
|
| 17 |
|
| 18 |
This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on an unknown dataset.
|
|
|
|
| 40 |
- seed: 42
|
| 41 |
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
|
| 42 |
- lr_scheduler_type: linear
|
| 43 |
+
- lr_scheduler_warmup_steps: 20
|
| 44 |
+
- training_steps: 300
|
| 45 |
|
| 46 |
### Framework versions
|
| 47 |
|
generation_config.json
CHANGED
|
@@ -150,7 +150,7 @@
|
|
| 150 |
"<|yo|>": 50325,
|
| 151 |
"<|zh|>": 50260
|
| 152 |
},
|
| 153 |
-
"language": "
|
| 154 |
"max_initial_timestamp_index": 50,
|
| 155 |
"max_length": 448,
|
| 156 |
"no_timestamps_token_id": 50363,
|
|
|
|
| 150 |
"<|yo|>": 50325,
|
| 151 |
"<|zh|>": 50260
|
| 152 |
},
|
| 153 |
+
"language": "English",
|
| 154 |
"max_initial_timestamp_index": 50,
|
| 155 |
"max_length": 448,
|
| 156 |
"no_timestamps_token_id": 50363,
|
model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 966995080
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:b3a7f5c7c7b902575b44f87e18c183b34b792e730a239d43d3e9997cbd52e4ec
|
| 3 |
size 966995080
|