Instructions to use WindyTranslate/translate-ti-en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyTranslate/translate-ti-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-ti-en")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("WindyTranslate/translate-ti-en") model = AutoModelForSeq2SeqLM.from_pretrained("WindyTranslate/translate-ti-en", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Promote lora build from WindstormLabs/translate-ti-en, with attribution and change statement
6fce9a6 verified - Xet hash:
- c1606dcd0815bde03c13fae9b1c22c7870034e4eb20b8c6ce8a2a0a49093899c
- Size of remote file:
- 972 kB
- SHA256:
- 06c7982b8faa707054b6d5ee3a6831ee9d91413e5508bb19f152619d4c0b74cb
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