Translation
Transformers
PyTorch
English
Hindi
viuai
viutranslate
sarus-500m
nmt
english-to-hindi
hindi-to-english
indic
devanagari
bfloat16
zero-synthetic
Instructions to use ViuAI/ViuTranslate with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ViuAI/ViuTranslate 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="ViuAI/ViuTranslate")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("ViuAI/ViuTranslate", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer_config.json from ViuAI/ViuTranslate: direct link, hf CLI and curl.
- Browser
- Download file 227 Bytes
-
https://huggingface.co/ViuAI/ViuTranslate/resolve/main/tokenizer_config.json
- Command line
-
hf download hf://ViuAI/ViuTranslate/tokenizer_config.json
-
curl -L -o tokenizer_config.json https://huggingface.co/ViuAI/ViuTranslate/resolve/main/tokenizer_config.json
227 Bytes
| { | |
| "model_max_length": 2048, | |
| "padding_side": "right", | |
| "tokenizer_class": "PreTrainedTokenizerFast", | |
| "clean_up_tokenization_spaces": false, | |
| "eos_token": "<|endofturn|>", | |
| "pad_token": "<pad>", | |
| "unk_token": "<unk>" | |
| } | |