Instructions to use kabelomalapane/Af-En_update_pc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kabelomalapane/Af-En_update_pc 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="kabelomalapane/Af-En_update_pc")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("kabelomalapane/Af-En_update_pc") model = AutoModelForSeq2SeqLM.from_pretrained("kabelomalapane/Af-En_update_pc", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a2b7da47077275e5e211ba0a083e4892548b2fd71585785512907d6b0c5fa927
- Size of remote file:
- 300 MB
- SHA256:
- 8cf66af7644bd4ac9e7bcd4eaaf56c465eaa0bed83507c52dc44ea56358b65b6
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