Translation
Transformers
TensorBoard
Safetensors
Arabic
English
whisper
automatic-speech-recognition
egyptian-arabic
code-switching
Generated from Trainer
Eval Results (legacy)
Instructions to use AssemGamal955/OUTPUT_DIR2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AssemGamal955/OUTPUT_DIR2 with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "translation" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # 'pip install "transformers<5.0.0' from transformers import pipeline pipe = pipeline("translation", model="AssemGamal955/OUTPUT_DIR2")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("AssemGamal955/OUTPUT_DIR2") model = AutoModelForSpeechSeq2Seq.from_pretrained("AssemGamal955/OUTPUT_DIR2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 28e9eac750a680fa87a95c0f1ce53e650a1791d2a13ac04fd9ef692a6963b1c1
- Size of remote file:
- 5.62 kB
- SHA256:
- eaa79a8a514223236ab7b1d078659e4797b0cff4a358402c970020eeaeb0c25f
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