Instructions to use CLTL/gm-ner-xlmrbase with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CLTL/gm-ner-xlmrbase with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="CLTL/gm-ner-xlmrbase")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("CLTL/gm-ner-xlmrbase") model = AutoModelForTokenClassification.from_pretrained("CLTL/gm-ner-xlmrbase", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from CLTL/gm-ner-xlmrbase: direct link, hf CLI and curl.
- Browser
- Download file 9.08 MB
-
https://huggingface.co/CLTL/gm-ner-xlmrbase/resolve/main/tokenizer.json
- Command line
-
hf download hf://CLTL/gm-ner-xlmrbase/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/CLTL/gm-ner-xlmrbase/resolve/main/tokenizer.json
9.08 MB
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