Instructions to use abdusah/ft-tatoeba-ar-en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use abdusah/ft-tatoeba-ar-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="abdusah/ft-tatoeba-ar-en")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("abdusah/ft-tatoeba-ar-en") model = AutoModelForSeq2SeqLM.from_pretrained("abdusah/ft-tatoeba-ar-en") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f6b2432001389a6f9cf27f1c43eb78d76058160a55141878a525c4de67c37fe0
- Size of remote file:
- 2.42 MB
- SHA256:
- d8f7c76ed2a5e0822be39f0a4f95a55eb19c78f4593ce609e2edbc2aea4d380a
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