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:
- c1d80326ae114143c0053342a8b39e0598b64b5c3dd38aaeee9c3eb547156ee4
- Size of remote file:
- 306 MB
- SHA256:
- 06adda78002412770d0ab29515396defed2e7f1f4e3e2777ea9df7a17369d9db
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