Instructions to use WindyTranslate/translate-lt-tr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyTranslate/translate-lt-tr 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="WindyTranslate/translate-lt-tr")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("WindyTranslate/translate-lt-tr") model = AutoModelForSeq2SeqLM.from_pretrained("WindyTranslate/translate-lt-tr", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Promote lora build from WindstormLabs/translate-lt-tr, with attribution and change statement
fe8aa51 verified - Xet hash:
- 36bfe9c82640d52606019ea0a411ad65826d7f20a85bbf803a7a670f69f0aad1
- Size of remote file:
- 832 kB
- SHA256:
- 8e6b9a208668773dafdefdb3ef338388d22e2bc896bbabda258d79f1997c227e
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