Instructions to use Shularp/ar2enCkptfromgendata_03 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Shularp/ar2enCkptfromgendata_03 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_03")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Shularp/ar2enCkptfromgendata_03") model = AutoModelForSeq2SeqLM.from_pretrained("Shularp/ar2enCkptfromgendata_03", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- be1a9ed828b30eb5d4a9d556ed3e394b977e6149b746abbeebbb96ba0866f576
- Size of remote file:
- 917 kB
- SHA256:
- 484f7210e5f4466f7e5b99b660717c6ef2a6f90746196daba507795b69dc02a2
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