Instructions to use WindyTranslate/translate-tll-en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyTranslate/translate-tll-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-tll-en")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("WindyTranslate/translate-tll-en") model = AutoModelForSeq2SeqLM.from_pretrained("WindyTranslate/translate-tll-en", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Promote lora build from WindstormLabs/translate-tll-en, with attribution and change statement
4d9d520 verified - Xet hash:
- 1ca14658c6c41188a98d91e5905bfcccd981d0d1e487d010d2c69d75f96a853c
- Size of remote file:
- 828 kB
- SHA256:
- 1a00130140f8ebc1170263b3d9667ba113a7c449205a908be347528d610c19a3
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