Instructions to use WindyTranslate/translate-th-en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyTranslate/translate-th-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-th-en")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("WindyTranslate/translate-th-en") model = AutoModelForSeq2SeqLM.from_pretrained("WindyTranslate/translate-th-en", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Promote lora build from WindstormLabs/translate-th-en, with attribution and change statement
20a6304 verified - Xet hash:
- 424ecaacd9849e4231834d8af2ac2af77f386a1c32ca4ef022314af7ff1282e3
- Size of remote file:
- 1.21 MB
- SHA256:
- 01ecb88d0f92bbb20c21257b92e93e301a10971ecd60971e8e637bc3eacd9124
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