Instructions to use WindyTranslate/translate-sv-he with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyTranslate/translate-sv-he 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-sv-he")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("WindyTranslate/translate-sv-he") model = AutoModelForSeq2SeqLM.from_pretrained("WindyTranslate/translate-sv-he", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Promote lora build from WindstormLabs/translate-sv-he, with attribution and change statement
090b847 verified - Xet hash:
- 5ed42e07935608f56af502ddfbdc0077b18fe42bb09e4e81594e3c053d33e9b2
- Size of remote file:
- 804 kB
- SHA256:
- 800285dfd1a3a7a514526de00a703027522cd3005ea3150252ed5469140748ca
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