Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
Turkish
whisper
hf-asr-leaderboard
Generated from Trainer
Instructions to use Mehtap/base_11 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Mehtap/base_11 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Mehtap/base_11")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("Mehtap/base_11") model = AutoModelForSpeechSeq2Seq.from_pretrained("Mehtap/base_11", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from Mehtap/base_11: direct link, hf CLI and curl.
- Browser
- Download file 290 MB
-
https://huggingface.co/Mehtap/base_11/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://Mehtap/base_11/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Mehtap/base_11/resolve/main/pytorch_model.bin
290 MB
- Xet hash:
- 738d19f0fda246d3120eec00acb0c0bd0836f66a0a9dd7c215be62687fbc226a
- Size of remote file:
- 290 MB
- SHA256:
- 06319ad437bf169981303834f0c8729cba2a5f61ef23caabccf03bed0b7e4042
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