Helsinki-NLP/opus-100
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How to use digitalist500/ing-tr-model 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="digitalist500/ing-tr-model") # Load model directly
from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
tokenizer = AutoTokenizer.from_pretrained("digitalist500/ing-tr-model")
model = AutoModelForSeq2SeqLM.from_pretrained("digitalist500/ing-tr-model", device_map="auto")digitalist500/ingtrmodel, İngilizce'den Türkçe'ye metin çevirisi yapmak için fine-tune edilmiş bir dil modelidir.
from transformers import pipeline
translator = pipeline("translation", model="digitalist500/ing-tr-model")
result = translator("Hello, how are you today?")
print(result[0]['translation_text'])
from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
tokenizer = AutoTokenizer.from_pretrained("digitalist500/ing-tr-model")
model = AutoModelForSeq2SeqLM.from_pretrained("digitalist500/ing-tr-model")
text = "The weather is beautiful today."
inputs = tokenizer(text, return_tensors="pt")
outputs = model.generate(**inputs)
translated_text = tokenizer.decode(outputs[0], skip_special_tokens=True)
print(translated_text)
Base model
Helsinki-NLP/opus-mt-en-trk