Instructions to use WindyTranslate/translate-hil-en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyTranslate/translate-hil-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-hil-en")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("WindyTranslate/translate-hil-en") model = AutoModelForSeq2SeqLM.from_pretrained("WindyTranslate/translate-hil-en", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 06867e467f6981b38f7d2d7cd914a23db6f040e98aaec363424a079c4fbf087c
- Size of remote file:
- 825 kB
- SHA256:
- 98d2effc2047ce3be9d553d19ac213e0aef6bb508575cf2e3d65e213456926a9
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