Instructions to use WindyTranslate/translate-ru-he with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyTranslate/translate-ru-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-ru-he")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("WindyTranslate/translate-ru-he") model = AutoModelForSeq2SeqLM.from_pretrained("WindyTranslate/translate-ru-he", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Promote herm0 build from WindstormLabs/translate-ru-he, with attribution and change statement
f7b2acb verified - Xet hash:
- 25db7bc2962bd9093bc8b2fa7a9d1605533cfcfaee038a7d341df5e0de2e43d1
- Size of remote file:
- 1.02 MB
- SHA256:
- 43fa5161df132ee483aff1e0063c86c4e00079608c6f12b0c96612203a330663
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