Token Classification
Transformers
ONNX
Safetensors
French
English
modernbert
pii
ner
anonymization
privacy
Instructions to use Gabrielkph/alias-mmbert-small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Gabrielkph/alias-mmbert-small with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Gabrielkph/alias-mmbert-small")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Gabrielkph/alias-mmbert-small") model = AutoModelForTokenClassification.from_pretrained("Gabrielkph/alias-mmbert-small", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from Gabrielkph/alias-mmbert-small: direct link, hf CLI and curl.
- Browser
- Download file 34.4 MB
-
https://huggingface.co/Gabrielkph/alias-mmbert-small/resolve/main/tokenizer.json
- Command line
-
hf download hf://Gabrielkph/alias-mmbert-small/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/Gabrielkph/alias-mmbert-small/resolve/main/tokenizer.json
34.4 MB
- Xet hash:
- 0ab6444482f3d0f7fd72c5df6cf1470249305a5431cbc947092c3f2e6e11ce36
- Size of remote file:
- 34.4 MB
- SHA256:
- ac6fc8196d1db9ef82e68f6088e8d77d711b8c6f07589cec7d9d59c4adfc9a1e
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