Instructions to use WindyTranslate/translate-de-bcl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyTranslate/translate-de-bcl 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-de-bcl")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("WindyTranslate/translate-de-bcl") model = AutoModelForSeq2SeqLM.from_pretrained("WindyTranslate/translate-de-bcl", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 131 Bytes
abf2cbb | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:2f8508bf973fb92bf357399021f319b4c17fcbbb5e179fb0860734d22d598899
size 867693
|