Instructions to use WindyTranslate/translate-lt-it with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyTranslate/translate-lt-it 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-it")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("WindyTranslate/translate-lt-it") model = AutoModelForSeq2SeqLM.from_pretrained("WindyTranslate/translate-lt-it", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Promote lora build from WindstormLabs/translate-lt-it, with attribution and change statement
a230361 verified Download source.spm from WindyTranslate/translate-lt-it: direct link, hf CLI and curl.
- Browser
- Download file 839 kB
-
https://huggingface.co/WindyTranslate/translate-lt-it/resolve/main/source.spm
- Command line
-
hf download hf://WindyTranslate/translate-lt-it/source.spm
-
curl -L -o source.spm https://huggingface.co/WindyTranslate/translate-lt-it/resolve/main/source.spm
839 kB
- Xet hash:
- 730a5bca4ea44c009000b7340ab8e5e4fc73b2b07a86bab33909e30c14afdc6f
- Size of remote file:
- 839 kB
- SHA256:
- 2233dcb68818a01ac94cdb44ff031eb22e29b666a39a8958ef2f41976ff8815d
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