Helsinki-NLP/opus-100
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How to use SoyGema/english-hebrew 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="SoyGema/english-hebrew") # Load model directly
from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
tokenizer = AutoTokenizer.from_pretrained("SoyGema/english-hebrew")
model = AutoModelForSeq2SeqLM.from_pretrained("SoyGema/english-hebrew")This model is a fine-tuned version of t5-small on the opus100 en-he dataset. It achieves the following results on the evaluation set:
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The following hyperparameters were used during training:
Base model
google-t5/t5-small