Instructions to use pranavdaware/speecht5_tts_technical_train2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pranavdaware/speecht5_tts_technical_train2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-audio", model="pranavdaware/speecht5_tts_technical_train2")# Load model directly from transformers import AutoProcessor, AutoModelForTextToSpectrogram processor = AutoProcessor.from_pretrained("pranavdaware/speecht5_tts_technical_train2") model = AutoModelForTextToSpectrogram.from_pretrained("pranavdaware/speecht5_tts_technical_train2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Update README.md
Browse files
README.md
CHANGED
|
@@ -15,7 +15,12 @@ model-index:
|
|
| 15 |
|
| 16 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
| 17 |
should probably proofread and complete it, then remove this comment. -->
|
| 18 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 19 |
# 🎤 SpeechT5 TTS Technical Train2
|
| 20 |
|
| 21 |
This model is a fine-tuned version of [microsoft/speecht5_tts](https://huggingface.co/microsoft/speecht5_tts) using a custom dataset, specifically trained for *Text-to-Speech (TTS)* tasks.
|
|
|
|
| 15 |
|
| 16 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
| 17 |
should probably proofread and complete it, then remove this comment. -->
|
| 18 |
+
| **PAGE** | **LINK** |
|
| 19 |
+
|-------------------------------------|------------------------------------------------------------------------------------------------------|
|
| 20 |
+
| **MARATHI TTS GITHUB LINK LINK** | [MARATHI TTS REPO](https://github.com/dawarepranav/speechT5_marathi_finetuned-) |
|
| 21 |
+
| **HUGGING FACE ENG TECHNICAL DATA** | [HUGGING FACE TECHNICAL DATA ](https://huggingface.co/pranavdaware/speecht5_tts_technical_train2) |
|
| 22 |
+
| **HUGGING FACE MARATHI TTS** | [HUGGING FACE MARATHI TTS ](https://huggingface.co/pranavdaware/speecht5_tts_marathi_train2) |
|
| 23 |
+
| **REPORT** | [REPORT](https://github.com/dawarepranav/speecht5_tts_english_technical_data/blob/main/A%20Technical%20Report.docx) |
|
| 24 |
# 🎤 SpeechT5 TTS Technical Train2
|
| 25 |
|
| 26 |
This model is a fine-tuned version of [microsoft/speecht5_tts](https://huggingface.co/microsoft/speecht5_tts) using a custom dataset, specifically trained for *Text-to-Speech (TTS)* tasks.
|