Instructions to use raykallen/cybert_apache_parser with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use raykallen/cybert_apache_parser with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="raykallen/cybert_apache_parser")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("raykallen/cybert_apache_parser") model = AutoModelForTokenClassification.from_pretrained("raykallen/cybert_apache_parser", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from raykallen/cybert_apache_parser: direct link, hf CLI and curl.
- Browser
- Download file 433 MB
-
https://huggingface.co/raykallen/cybert_apache_parser/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://raykallen/cybert_apache_parser/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/raykallen/cybert_apache_parser/resolve/main/pytorch_model.bin
433 MB
- Xet hash:
- 559687567e7d7cad540394e7d9113c191fb1a3edc287e19c8087ba315499d3e2
- Size of remote file:
- 433 MB
- SHA256:
- 391bb398f8640ab635bb991f66f7999bae25dcfadb2e12cfc2dc3d7167f9e86f
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