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 training_args.bin from vishnun/knowledge-graph-nlp: direct link, hf CLI and curl.
- Browser
- Download file 4.73 kB
-
https://huggingface.co/vishnun/knowledge-graph-nlp/resolve/main/training_args.bin
- Command line
-
hf download hf://vishnun/knowledge-graph-nlp/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/vishnun/knowledge-graph-nlp/resolve/main/training_args.bin
4.73 kB
- Xet hash:
- f25e6ddf5f0aa3802675939533ad01458470b02bc3ac6afbf7c5e4496fb854c4
- Size of remote file:
- 4.73 kB
- SHA256:
- 23abc6b77f9623a957caff2f81541f06b4c28c53350e0039a1995b8eec211274
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