Translation
Transformers
Safetensors
English
Egyptian Arabic
bart
text2text-generation
low-resource
egyptian-arabic
seq2seq
English
Instructions to use Shams03/EgyLated with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Shams03/EgyLated 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="Shams03/EgyLated")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Shams03/EgyLated") model = AutoModelForSeq2SeqLM.from_pretrained("Shams03/EgyLated", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e3f7a0cd8899af8230b32cb4a43a80d34cf2c5059b570df814a1b25e83d2d180
- Size of remote file:
- 7.54 kB
- SHA256:
- 1f85e9a4526bca0f59ea1121285a9ac017b16e205fbdfcc9c5c6e2faa61b346e
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