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:
- c0a845722a5de985dd2d5c7e3e70b343d9fab37542adbcfb9dee10f152fd6eec
- Size of remote file:
- 4.09 kB
- SHA256:
- f27bbd0b4965131b153c7129d30370672a82f9cdb7e04cf46936e4cca3556388
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.