Text Classification
Transformers
Safetensors
bert
lid
Language Identification
African Languages
text-embeddings-inference
Instructions to use dsfsi/za-lid-bert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dsfsi/za-lid-bert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="dsfsi/za-lid-bert")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("dsfsi/za-lid-bert") model = AutoModelForSequenceClassification.from_pretrained("dsfsi/za-lid-bert") - Notebooks
- Google Colab
- Kaggle
Update README.md
Browse filesAdding @vukosi co author.
README.md
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- **Developed by:** Thapelo Sindane
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- **Shared by [optional]:** DSFSI
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- **Model type:** BERT
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- **Language(s) (NLP):** Sepedi (nso), Sesotho(sot), Setswana(tsn), Xitsonga(tso), Isindebele(nr), Tshivenda(ven), IsiXhosa(xho), IsiZulu(zul), IsiSwati(ssw), Afrikaans(af), and English(en)
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- **Developed by:** Thapelo Sindane, Vukosi Marivate
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- **Shared by [optional]:** DSFSI
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- **Model type:** BERT
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- **Language(s) (NLP):** Sepedi (nso), Sesotho(sot), Setswana(tsn), Xitsonga(tso), Isindebele(nr), Tshivenda(ven), IsiXhosa(xho), IsiZulu(zul), IsiSwati(ssw), Afrikaans(af), and English(en)
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