Instructions to use WindyTranslate/translate-war-en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyTranslate/translate-war-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-war-en")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("WindyTranslate/translate-war-en") model = AutoModelForSeq2SeqLM.from_pretrained("WindyTranslate/translate-war-en", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Promote lora build from WindstormLabs/translate-war-en, with attribution and change statement
87e0a28 verified - Xet hash:
- 6c5d42e6a70c8c1ec2a11a4917d47f16307588f0932c1204c8a63a04a0dceacb
- Size of remote file:
- 306 kB
- SHA256:
- 9ae830343f5a525e6a4790cf0596750562501e389fafce560a804b3c3ba60fa0
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