Instructions to use WindyTranslate/translate-itc-en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyTranslate/translate-itc-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-itc-en")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("WindyTranslate/translate-itc-en") model = AutoModelForSeq2SeqLM.from_pretrained("WindyTranslate/translate-itc-en", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c0f2366477bebe194f7dde8b348cd9a0ee026f47553186075e3b9fc8b1a97d99
- Size of remote file:
- 792 kB
- SHA256:
- 3b27ce08c2aa9d1f12b0dbc414eceaa2a72271099d4d51ff7ab86dbfa37bf812
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