Instructions to use Helsinki-NLP/opus-mt-itc-itc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Helsinki-NLP/opus-mt-itc-itc 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="Helsinki-NLP/opus-mt-itc-itc")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Helsinki-NLP/opus-mt-itc-itc") model = AutoModelForSeq2SeqLM.from_pretrained("Helsinki-NLP/opus-mt-itc-itc", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ab4d74b7dc9738255898f92325909ae4926694a770ca9996160fa45ad8762f6f
- Size of remote file:
- 254 MB
- SHA256:
- 7aa8a24304cd23149d3e09da2a0068d32fe5c118c063d76d82d8489d0d238340
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