Instructions to use Kajal-A/quick-translation-test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Kajal-A/quick-translation-test 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="Kajal-A/quick-translation-test")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Kajal-A/quick-translation-test") model = AutoModelForSeq2SeqLM.from_pretrained("Kajal-A/quick-translation-test") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0fed8b7daacbd2fc0973ce6e6b93eafc356cac8629a85f605d4b5c6748f6970d
- Size of remote file:
- 778 kB
- SHA256:
- 173e9f493a668fe396d599e28d414a201193094e6ffd7a4678e5aab0f6d3d838
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