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")# pip install -U transformers accelerate # 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
Download source.spm from kabelomalapane/Af-En_update_pc: direct link, hf CLI and curl.
- Browser
- Download file 826 kB
-
https://huggingface.co/kabelomalapane/Af-En_update_pc/resolve/main/source.spm
- Command line
-
hf download hf://kabelomalapane/Af-En_update_pc/source.spm
-
curl -L -o source.spm https://huggingface.co/kabelomalapane/Af-En_update_pc/resolve/main/source.spm
826 kB
- Xet hash:
- 82107a50d6dc9e3711d85186ae65b93f69977ce1c6ab5461d69b3c7a119d41b1
- Size of remote file:
- 826 kB
- SHA256:
- 2c0775610306d171b4f98a32f28024d0b24927d42c305fdb72d03c551908280d
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