Token Classification
Transformers
PyTorch
TensorBoard
Safetensors
English
distilbert
Generated from Trainer
Instructions to use vishnun/knowledge-graph-nlp with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vishnun/knowledge-graph-nlp with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="vishnun/knowledge-graph-nlp")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("vishnun/knowledge-graph-nlp") model = AutoModelForTokenClassification.from_pretrained("vishnun/knowledge-graph-nlp", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from vishnun/knowledge-graph-nlp: direct link, hf CLI and curl.
- Browser
- Download file 712 kB
-
https://huggingface.co/vishnun/knowledge-graph-nlp/resolve/refs%2Fpr%2F3/tokenizer.json
- Command line
-
hf download hf://vishnun/knowledge-graph-nlp@refs/pr/3/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/vishnun/knowledge-graph-nlp/resolve/refs%2Fpr%2F3/tokenizer.json
712 kB
File too large to display, you can check the raw version instead.