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
File size: 131 Bytes
87e0a28 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:9ae830343f5a525e6a4790cf0596750562501e389fafce560a804b3c3ba60fa0
size 306074
|