Instructions to use Oleks333/mountain-ner-bert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Oleks333/mountain-ner-bert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Oleks333/mountain-ner-bert")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Oleks333/mountain-ner-bert") model = AutoModelForTokenClassification.from_pretrained("Oleks333/mountain-ner-bert", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from Oleks333/mountain-ner-bert: direct link, hf CLI and curl.
- Browser
- Download file 669 kB
-
https://huggingface.co/Oleks333/mountain-ner-bert/resolve/main/tokenizer.json
- Command line
-
hf download hf://Oleks333/mountain-ner-bert/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/Oleks333/mountain-ner-bert/resolve/main/tokenizer.json
669 kB
File too large to display, you can check the raw version instead.