Text Classification
Transformers
Safetensors
Greek
bert
greek
document-classification
page-classification
nlp
contrastive-learning
text-embeddings-inference
Instructions to use Archeiothiki/KYC_classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Archeiothiki/KYC_classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Archeiothiki/KYC_classification")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Archeiothiki/KYC_classification") model = AutoModelForSequenceClassification.from_pretrained("Archeiothiki/KYC_classification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Archeiothiki/KYC_classification: direct link, hf CLI and curl.
- Browser
- Download file 5.52 kB
-
https://huggingface.co/Archeiothiki/KYC_classification/resolve/main/training_args.bin
- Command line
-
hf download hf://Archeiothiki/KYC_classification/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Archeiothiki/KYC_classification/resolve/main/training_args.bin
5.52 kB
- Xet hash:
- 2f9dd3b1f538d76b2ae9b747d29bc01ba861054433753213c634464eebe3ab8a
- Size of remote file:
- 5.52 kB
- SHA256:
- 2148e7ab014cebda456a2ef4b40f5302f53e9584be5ded3e7c70aca424295392
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