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")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("RohanMuralidharan/Transync") model = AutoModelForSeq2SeqLM.from_pretrained("RohanMuralidharan/Transync") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8cb2394bc84ece26267363f01377ca20b026d393edc22b774efe78fad229b8b9
- Size of remote file:
- 2.44 GB
- SHA256:
- 51fbf92efa747400b06d368d5c86b79e4a67799c754bf2c2a81f0bf210efe4c5
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