Instructions to use linguardia/opus-mt-en-shi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use linguardia/opus-mt-en-shi 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="linguardia/opus-mt-en-shi")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("linguardia/opus-mt-en-shi") model = AutoModelForSeq2SeqLM.from_pretrained("linguardia/opus-mt-en-shi", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "lang": "shi", | |
| "lang_tag": ">>shi<<", | |
| "base": "Helsinki-NLP/opus-mt-en-mul", | |
| "base_license": "Apache-2.0", | |
| "data": "Tatoeba shi<->eng links, CC-BY 2.0 FR", | |
| "train_pairs": 20399, | |
| "epochs": 6.0, | |
| "charmap": { | |
| "\u02b7": "\u00b0" | |
| } | |
| } |