Instructions to use WindyTranslate/translate-fi-ve with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyTranslate/translate-fi-ve 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-fi-ve")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("WindyTranslate/translate-fi-ve") model = AutoModelForSeq2SeqLM.from_pretrained("WindyTranslate/translate-fi-ve", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 131 Bytes
bde5fea | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:f1c310efe33408410d87ecd73100daff22988ce5c456fe2490bd3df34f16a872
size 890419
|