Automatic Speech Recognition
Transformers
PyTorch
whisper
Generated from Trainer
Eval Results (legacy)
Instructions to use kurianbenoy/hfa-poly_english_small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kurianbenoy/hfa-poly_english_small with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="kurianbenoy/hfa-poly_english_small")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("kurianbenoy/hfa-poly_english_small") model = AutoModelForSpeechSeq2Seq.from_pretrained("kurianbenoy/hfa-poly_english_small", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit ·
91acdbc
1
Parent(s): 4f9fa02
Update README.md
Browse files
README.md
CHANGED
|
@@ -27,7 +27,7 @@ model-index:
|
|
| 27 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
| 28 |
should probably proofread and complete it, then remove this comment. -->
|
| 29 |
|
| 30 |
-
#
|
| 31 |
|
| 32 |
This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the PolyAI/minds14 dataset.
|
| 33 |
It achieves the following results on the evaluation set:
|
|
|
|
| 27 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
| 28 |
should probably proofread and complete it, then remove this comment. -->
|
| 29 |
|
| 30 |
+
# hfa-poly_english_small
|
| 31 |
|
| 32 |
This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the PolyAI/minds14 dataset.
|
| 33 |
It achieves the following results on the evaluation set:
|