Text Classification
Transformers
TensorBoard
Safetensors
Yoruba
xlm-roberta
Generated from Trainer
text-embeddings-inference
Instructions to use Fah-d/xlm-yoruba-tweets-classifications with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Fah-d/xlm-yoruba-tweets-classifications with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Fah-d/xlm-yoruba-tweets-classifications")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Fah-d/xlm-yoruba-tweets-classifications") model = AutoModelForSequenceClassification.from_pretrained("Fah-d/xlm-yoruba-tweets-classifications", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from Fah-d/xlm-yoruba-tweets-classifications: direct link, hf CLI and curl.
- Browser
- Download file 17.1 MB
-
https://huggingface.co/Fah-d/xlm-yoruba-tweets-classifications/resolve/main/tokenizer.json
- Command line
-
hf download hf://Fah-d/xlm-yoruba-tweets-classifications/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/Fah-d/xlm-yoruba-tweets-classifications/resolve/main/tokenizer.json
17.1 MB
- Xet hash:
- 5acd31d5cc436d159b56958839b194f09a1de65971f4ede710cad46ddddb1cc5
- Size of remote file:
- 17.1 MB
- SHA256:
- 9a4661b2cb6b8a1007906509fe18cbfbc03062a086102bf7b80cfedb80f16c37
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