Instructions to use Nextcloud-AI/opus-mt-tr-es with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Nextcloud-AI/opus-mt-tr-es 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="Nextcloud-AI/opus-mt-tr-es")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Nextcloud-AI/opus-mt-tr-es") model = AutoModelForSeq2SeqLM.from_pretrained("Nextcloud-AI/opus-mt-tr-es", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 134 Bytes
7bdf4a9 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:fa7571bacbc932a3758a1f7d72bc48ed566b9319576a144d4f189e342ed09578
size 300932337
|