Instructions to use RohanMuralidharan/Transync with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use RohanMuralidharan/Transync 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="RohanMuralidharan/Transync")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("RohanMuralidharan/Transync") model = AutoModelForSeq2SeqLM.from_pretrained("RohanMuralidharan/Transync", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download .gitattributes from RohanMuralidharan/Transync: direct link, hf CLI and curl.
- Browser
- Download file 168 Bytes
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https://huggingface.co/RohanMuralidharan/Transync/resolve/main/.gitattributes
- Command line
-
hf download hf://RohanMuralidharan/Transync/.gitattributes
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curl -L -o .gitattributes https://huggingface.co/RohanMuralidharan/Transync/resolve/main/.gitattributes
168 Bytes
| pytorch_model.bin filter=lfs diff=lfs merge=lfs -text | |
| sentencepiece.bpe.model filter=lfs diff=lfs merge=lfs -text | |
| model.safetensors filter=lfs diff=lfs merge=lfs -text | |