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 pytorch_model.bin from vishnun/knowledge-graph-nlp: direct link, hf CLI and curl.
- Browser
- Download file 265 MB
-
https://huggingface.co/vishnun/knowledge-graph-nlp/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://vishnun/knowledge-graph-nlp/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/vishnun/knowledge-graph-nlp/resolve/main/pytorch_model.bin
265 MB
- Xet hash:
- ab088f5a4ad863dd6a18a875446aeb448fcf83154de35d796197c4e86d393e87
- Size of remote file:
- 265 MB
- SHA256:
- b62a060c21dd95ccf7e5e28d309e8514549a1c341cfb7fded76d82f88d1dda2c
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