How to use from the
Use from the
Transformers library
# 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="Biniam/en_ti_translate")
# Load model directly
from transformers import AutoTokenizer, AutoModelForSeq2SeqLM

tokenizer = AutoTokenizer.from_pretrained("Biniam/en_ti_translate")
model = AutoModelForSeq2SeqLM.from_pretrained("Biniam/en_ti_translate", device_map="auto")
Quick Links

en_ti_translate

  • source languages: en
  • target languages: ti
  • model: hugging face transformer seq2seq
  • base model : opus-mt-en-ti
  • pre-processing: normalization + SentencePiece

documentation

https://tigrinyanlp.github.io/

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