Instructions to use megalaa/coptic-english-translator with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use megalaa/coptic-english-translator 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="megalaa/coptic-english-translator")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("megalaa/coptic-english-translator") model = AutoModelForSeq2SeqLM.from_pretrained("megalaa/coptic-english-translator") - Notebooks
- Google Colab
- Kaggle
How To Use This Model
Sahidic Example With No Confidence Score
from transformers import pipeline
pipe = pipeline(model="megalaa/coptic-english-translator", trust_remote_code=True)
output = pipe("ⲓⲏⲥⲟⲩⲥ ⲡⲉⲭⲣⲓⲥⲧⲟⲥ")
print(output)
# {'translation': 'Jesus Christ,'}
Parameters
By default, this models translates from Sahidic Coptic to English.
Use from_bohairic=True if you are translating from Bohairic Coptic to English.
Additionally, use output_confidence=True if you want to output the model confidence.
Bohairic Example With Confidence Score
from transformers import pipeline
pipe = pipeline(model="megalaa/coptic-english-translator", trust_remote_code=True)
output = pipe("ⲓⲏⲥ ⲡⲭⲥ", from_bohairic=True, output_confidence=True)
print(output)
# {'translation': 'Jesus Christ.', 'confidence': 0.7219238269534208}
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