Instructions to use Azma-AI/bert-uncased-keyword-extractor with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Azma-AI/bert-uncased-keyword-extractor with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Azma-AI/bert-uncased-keyword-extractor")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Azma-AI/bert-uncased-keyword-extractor") model = AutoModelForTokenClassification.from_pretrained("Azma-AI/bert-uncased-keyword-extractor", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from Azma-AI/bert-uncased-keyword-extractor: direct link, hf CLI and curl.
- Browser
- Download file 711 kB
-
https://huggingface.co/Azma-AI/bert-uncased-keyword-extractor/resolve/refs%2Fpr%2F1/tokenizer.json
- Command line
-
hf download hf://Azma-AI/bert-uncased-keyword-extractor@refs/pr/1/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/Azma-AI/bert-uncased-keyword-extractor/resolve/refs%2Fpr%2F1/tokenizer.json
711 kB
File too large to display, you can check the raw version instead.