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")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("raykallen/cybert_apache_parser") model = AutoModelForTokenClassification.from_pretrained("raykallen/cybert_apache_parser") - Notebooks
- Google Colab
- Kaggle
Commit ·
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Parent(s): c61cf0a
upload flax model
Browse files- flax_model.msgpack +3 -0
flax_model.msgpack
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version https://git-lfs.github.com/spec/v1
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oid sha256:f0c5294f1653f16f6b36bb9aae2aa346b352e3799039b5865229777ab637069e
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size 430935078
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