Instructions to use kabelomalapane/En-Nso_update2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kabelomalapane/En-Nso_update2 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/En-Nso_update2")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("kabelomalapane/En-Nso_update2") model = AutoModelForSeq2SeqLM.from_pretrained("kabelomalapane/En-Nso_update2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download source.spm from kabelomalapane/En-Nso_update2: direct link, hf CLI and curl.
- Browser
- Download file 823 kB
-
https://huggingface.co/kabelomalapane/En-Nso_update2/resolve/main/source.spm
- Command line
-
hf download hf://kabelomalapane/En-Nso_update2/source.spm
-
curl -L -o source.spm https://huggingface.co/kabelomalapane/En-Nso_update2/resolve/main/source.spm
823 kB
- Xet hash:
- c9d3efa24a6d294b92256e24aa26380ad46a3a2e1a4fb6da5376b48335fd7d2c
- Size of remote file:
- 823 kB
- SHA256:
- e3ca7deaf1f7251cacee1233e157a9326639bc0c7209bab9589c82173a2b7e24
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