Instructions to use kabelomalapane/Af-En with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kabelomalapane/Af-En 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")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("kabelomalapane/Af-En") model = AutoModelForSeq2SeqLM.from_pretrained("kabelomalapane/Af-En", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e238823cd010b089335bc5464ce5edf843471b35b2b914d5148f3fcfb6bd8135
- Size of remote file:
- 3.38 kB
- SHA256:
- 186a67655eeb6f2f05309cf7d22964fffc38fe35d58ec9cb8eac5f80e11dec3f
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