Instructions to use cassandra-themis/test_tcp_ca with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cassandra-themis/test_tcp_ca with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="cassandra-themis/test_tcp_ca")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("cassandra-themis/test_tcp_ca") model = AutoModelForTokenClassification.from_pretrained("cassandra-themis/test_tcp_ca") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d248365af024560f1ec2113008361b5c2e474714e8d4856ef0e8f8347a68e189
- Size of remote file:
- 3.06 kB
- SHA256:
- 658094d4d6b126648d76e1486a3c7cc35c09db4cecaea7fd50dbb9b69b862ed9
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