Instructions to use kabelomalapane/Ts-En_update with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kabelomalapane/Ts-En_update 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="kabelomalapane/Ts-En_update")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("kabelomalapane/Ts-En_update") model = AutoModelForSeq2SeqLM.from_pretrained("kabelomalapane/Ts-En_update") - Notebooks
- Google Colab
- Kaggle
| { | |
| "eos_token": "</s>", | |
| "model_max_length": 512, | |
| "name_or_path": "Helsinki-NLP/opus-mt-ts-en", | |
| "pad_token": "<pad>", | |
| "return_tensors": "tf", | |
| "separate_vocabs": false, | |
| "source_lang": "ts", | |
| "sp_model_kwargs": {}, | |
| "special_tokens_map_file": null, | |
| "target_lang": "en", | |
| "tokenizer_class": "MarianTokenizer", | |
| "unk_token": "<unk>" | |
| } | |