Instructions to use WindyTranslate/translate-kl-en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyTranslate/translate-kl-en 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-kl-en")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("WindyTranslate/translate-kl-en") model = AutoModelForSeq2SeqLM.from_pretrained("WindyTranslate/translate-kl-en", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Promote herm0 build from WindstormLabs/translate-kl-en, with attribution and change statement
c7dcdf6 verified - Xet hash:
- d76fd0fc7eb6da7b43e75c359eda2961b96ea12b95396e5917d4ecf29457c48b
- Size of remote file:
- 882 kB
- SHA256:
- 036067f01dbf9e3e9f49f2c3c13911712dea4b481bfdd702fd77683c7a91aef7
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