Instructions to use Language-Media-Lab/mt5-small-jpn-ain-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-jpn-ain-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-jpn-ain-mt")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Language-Media-Lab/mt5-small-jpn-ain-mt") model = AutoModelForSeq2SeqLM.from_pretrained("Language-Media-Lab/mt5-small-jpn-ain-mt") - Notebooks
- Google Colab
- Kaggle
| {"eos_token": "</s>", "unk_token": "<unk>", "pad_token": "<pad>", "extra_ids": 0, "additional_special_tokens": null, "sp_model_kwargs": {}, "special_tokens_map_file": "/root/.cache/huggingface/transformers/685ac0ca8568ec593a48b61b0a3c272beee9bc194a3c7241d15dcadb5f875e53.f76030f3ec1b96a8199b2593390c610e76ca8028ef3d24680000619ffb646276", "name_or_path": "google/mt5-small", "tokenizer_class": "T5Tokenizer"} |