Translation
Transformers
PyTorch
English
Azerbaijani
mt5
text2text-generation
machine-translation
english
azerbaijani
Instructions to use learningmachineaz/mt5-enaz-10m with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use learningmachineaz/mt5-enaz-10m 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="learningmachineaz/mt5-enaz-10m")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("learningmachineaz/mt5-enaz-10m") model = AutoModelForSeq2SeqLM.from_pretrained("learningmachineaz/mt5-enaz-10m") - Notebooks
- Google Colab
- Kaggle
| { | |
| "additional_special_tokens": null, | |
| "eos_token": "</s>", | |
| "extra_ids": 0, | |
| "name_or_path": "mt5-enaz-10m/checkpoint-150000", | |
| "pad_token": "<pad>", | |
| "sp_model_kwargs": {}, | |
| "special_tokens_map_file": "/home/patrick/.cache/torch/transformers/685ac0ca8568ec593a48b61b0a3c272beee9bc194a3c7241d15dcadb5f875e53.f76030f3ec1b96a8199b2593390c610e76ca8028ef3d24680000619ffb646276", | |
| "tokenizer_class": "T5Tokenizer", | |
| "tokenizer_file": null, | |
| "truncate": true, | |
| "unk_token": "<unk>" | |
| } | |