Token Classification
Transformers
PyTorch
TensorBoard
Mongolian
gpt2
Generated from Trainer
text-generation-inference
Instructions to use Enkhbold/mongolian-gpt2-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Enkhbold/mongolian-gpt2-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Enkhbold/mongolian-gpt2-ner")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Enkhbold/mongolian-gpt2-ner") model = AutoModelForTokenClassification.from_pretrained("Enkhbold/mongolian-gpt2-ner", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from Enkhbold/mongolian-gpt2-ner: direct link, hf CLI and curl.
- Browser
- Download file 2.11 MB
-
https://huggingface.co/Enkhbold/mongolian-gpt2-ner/resolve/main/tokenizer.json
- Command line
-
hf download hf://Enkhbold/mongolian-gpt2-ner/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/Enkhbold/mongolian-gpt2-ner/resolve/main/tokenizer.json
2.11 MB
File too large to display, you can check the raw version instead.