Instructions to use Xenova/tiny-random-WhisperForConditionalGeneration_timestamped with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers.js
How to use Xenova/tiny-random-WhisperForConditionalGeneration_timestamped with Transformers.js:
// npm i @huggingface/transformers import { pipeline } from '@huggingface/transformers'; // Allocate pipeline const pipe = await pipeline('automatic-speech-recognition', 'Xenova/tiny-random-WhisperForConditionalGeneration_timestamped');
Commit History
-
Add/update the quantized ONNX model files and README.md for Transformers.js v3
Verified signature## Applied Quantizations ### ❌ Based on `decoder_model.onnx` *with* slimming ``` 0%| | 0/1 [00:00<?, ?it/s] Processing /tmp/tmp73cu4bel/decoder_model.onnx: 0%| | 0/1 [00:00<?, ?it/s] 0%| | 0/7 [00:00<?, ?it/s][A - Quantizing to fp16: 0%| | 0/7 [00:00<?, ?it/s][A/home/ubuntu/src/tjsmigration/transformers.js/scripts/float16.py:85: UserWarning: the float32 number -3.4028234663852886e+38 will be truncated to -10000.0 warnings.warn( - Quantizing to fp16: 0%| | 0/7 [00:00<?, ?it/s] Processing /tmp/tmp73cu4bel/decoder_model.onnx: 0%| | 0/1 [00:00<?, ?it/s] Traceback (most recent call last): File "<frozen runpy>", line 198, in _run_module_as_main File "<frozen runpy>", line 88, in _run_code File "/home/ubuntu/src/tjsmigration/transformers.js/scripts/quantize.py", line 377, in <module> main() File "/home/ubuntu/src/tjsmigration/transformers.js/scripts/quantize.py", line 374, in main quantize(input_folder…27fb935
-
Update generation_config.json
Verified signature4ea9abc
-
Upload 4 files
Verified signatureb77548b -
Upload 4 files
Verified signaturef1e4cbc -
Upload 4 files
Verified signatureccb9086 -
Upload 4 files
Verified signaturedabbf47 -
Upload 4 files
Verified signature0a53f56 -
Duplicate from Xenova/tiny-random-WhisperForConditionalGeneration
Verified signature2a98138