Text Classification
Transformers
Safetensors
Multiple languages
roberta
ancient-egyptian
classification
transliteration
historical-nlp
ae-translit
text-embeddings-inference
Instructions to use RamzyBakir/roberta-aegyptustranslit-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use RamzyBakir/roberta-aegyptustranslit-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="RamzyBakir/roberta-aegyptustranslit-classifier")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("RamzyBakir/roberta-aegyptustranslit-classifier") model = AutoModelForSequenceClassification.from_pretrained("RamzyBakir/roberta-aegyptustranslit-classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from RamzyBakir/roberta-aegyptustranslit-classifier: direct link, hf CLI and curl.
- Browser
- Download file 5.37 kB
-
https://huggingface.co/RamzyBakir/roberta-aegyptustranslit-classifier/resolve/main/training_args.bin
- Command line
-
hf download hf://RamzyBakir/roberta-aegyptustranslit-classifier/training_args.bin
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curl -L -o training_args.bin https://huggingface.co/RamzyBakir/roberta-aegyptustranslit-classifier/resolve/main/training_args.bin
5.37 kB
- Xet hash:
- f87a07bbabb108cd691d4ad6cc7ca11e1951e1c049c20db609065e0cc260ec15
- Size of remote file:
- 5.37 kB
- SHA256:
- 37ed91464a201cf62ac9da194b14de83319b5645b346c83b88b635d0e395661a
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