Instructions to use WindyTranslate/translate-run-sv with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyTranslate/translate-run-sv 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-run-sv")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("WindyTranslate/translate-run-sv") model = AutoModelForSeq2SeqLM.from_pretrained("WindyTranslate/translate-run-sv", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Promote lora build from WindstormLabs/translate-run-sv, with attribution and change statement
e8f3002 verified - Xet hash:
- 0b7df6c5e283ee2df8491b3d1d6e4d7799b40de0a739aacfc8bcf1bea1b1c6f3
- Size of remote file:
- 811 kB
- SHA256:
- c5a45b0185f7df4d82b43a3827c06f6f7f92277de6b3ffb03fbe77aaa91ceacc
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