Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
Romanian
whisper
hf-asr-leaderboard
Generated from Trainer
Eval Results (legacy)
Instructions to use iulik-pisik/all_data_model_base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use iulik-pisik/all_data_model_base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="iulik-pisik/all_data_model_base")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("iulik-pisik/all_data_model_base") model = AutoModelForSpeechSeq2Seq.from_pretrained("iulik-pisik/all_data_model_base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 129 Bytes
2b43b1f | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:914285e1a0c2e5864b19f6a2fb7d83aab760388d4a52e89441f35245bf9d35cc
size 5048
|