Instructions to use Language-Media-Lab/mt5-small-ain-jpn-mt with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Language-Media-Lab/mt5-small-ain-jpn-mt 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="Language-Media-Lab/mt5-small-ain-jpn-mt")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Language-Media-Lab/mt5-small-ain-jpn-mt") model = AutoModelForSeq2SeqLM.from_pretrained("Language-Media-Lab/mt5-small-ain-jpn-mt", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- be9881a64c86b4e3cf9200857179b6962d303174ed75bc6ce3ef8650c9d5a4f2
- Size of remote file:
- 2.4 GB
- SHA256:
- a19295eedeb9af10063ba04c81e5d886eac558c78fcbf1c333c0fcdac9185f91
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