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
| { | |
| "bos_token_id": 3, | |
| "decoder_start_token_id": 2, | |
| "early_stopping": true, | |
| "eos_token_id": [ | |
| 4 | |
| ], | |
| "forced_eos_token_id": 2, | |
| "length_penalty": 1.2, | |
| "max_new_tokens": 128, | |
| "no_repeat_ngram_size": 3, | |
| "num_beams": 5, | |
| "pad_token_id": 1, | |
| "repetition_penalty": 1.5, | |
| "transformers_version": "4.57.1" | |
| } | |