Instructions to use WindyTranslate/translate-sm-en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyTranslate/translate-sm-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-sm-en")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("WindyTranslate/translate-sm-en") model = AutoModelForSeq2SeqLM.from_pretrained("WindyTranslate/translate-sm-en", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Promote lora build from WindstormLabs/translate-sm-en, with attribution and change statement
33f19d6 verified - Xet hash:
- 3422d32d60e5925e32165ea31ebbbe4e20c17d9251944b5a15babe1718f15f7c
- Size of remote file:
- 767 kB
- SHA256:
- 064e4169a81267c8ae5069ff49c43ae796979fb1acc4b5bd848798fb167c3fd3
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