Text Classification
Transformers
Safetensors
Arabic
French
English
distilbert
token-classification
ner
pii
cv-parsing
morocco
text-embeddings-inference
Instructions to use Lamaachi/distilbert-moroccan-pii-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Lamaachi/distilbert-moroccan-pii-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Lamaachi/distilbert-moroccan-pii-classifier")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Lamaachi/distilbert-moroccan-pii-classifier") model = AutoModelForTokenClassification.from_pretrained("Lamaachi/distilbert-moroccan-pii-classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Lamaachi/distilbert-moroccan-pii-classifier: direct link, hf CLI and curl.
- Browser
- Download file 5.3 kB
-
https://huggingface.co/Lamaachi/distilbert-moroccan-pii-classifier/resolve/main/training_args.bin
- Command line
-
hf download hf://Lamaachi/distilbert-moroccan-pii-classifier/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Lamaachi/distilbert-moroccan-pii-classifier/resolve/main/training_args.bin
5.3 kB
- Xet hash:
- 149502c7b67c6cb566261d8c4e4cf21ac317c1707241294171960e2e56f5013f
- Size of remote file:
- 5.3 kB
- SHA256:
- 4b49d80e5f6efed1310e5e917733e2781c850ff1c16471b63ff196d6b6a99e5f
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