Instructions to use WindyTranslate/translate-fiu-en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyTranslate/translate-fiu-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-fiu-en")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("WindyTranslate/translate-fiu-en") model = AutoModelForSeq2SeqLM.from_pretrained("WindyTranslate/translate-fiu-en", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download target.spm from WindyTranslate/translate-fiu-en: direct link, hf CLI and curl.
- Browser
- Download file 793 kB
-
https://huggingface.co/WindyTranslate/translate-fiu-en/resolve/main/target.spm
- Command line
-
hf download hf://WindyTranslate/translate-fiu-en/target.spm
-
curl -L -o target.spm https://huggingface.co/WindyTranslate/translate-fiu-en/resolve/main/target.spm
793 kB
- Xet hash:
- 79bca6fc93c1f1622bd8ec103a9f22b92899e23fa286eea8566819c562437efb
- Size of remote file:
- 793 kB
- SHA256:
- a523ef9202def1f28af649711aa6130f8f8510d42a7287263160b5756171953c
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