Instructions to use Shularp/ar2enCkptfromgendata_02 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Shularp/ar2enCkptfromgendata_02 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="Shularp/ar2enCkptfromgendata_02")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Shularp/ar2enCkptfromgendata_02") model = AutoModelForSeq2SeqLM.from_pretrained("Shularp/ar2enCkptfromgendata_02", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1476d8bb3ed272e513416f4f26b178e9f67367350cd70b065ce89bd48b87a94c
- Size of remote file:
- 306 MB
- SHA256:
- d5d140c36fff68eaa14a9799d6c134673f3145fb2d3be9f7a18f47a4eb276720
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