Instructions to use jnwnlee/distbert_cpcd with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jnwnlee/distbert_cpcd with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="jnwnlee/distbert_cpcd")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("jnwnlee/distbert_cpcd") model = AutoModelForSequenceClassification.from_pretrained("jnwnlee/distbert_cpcd") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0936a36d511c7dac456166a076cf09ab5059247bffa9071214a270ab2a77aa2e
- Size of remote file:
- 4.79 MB
- SHA256:
- 456ce71280e244d7344127b40344103bea63fe5d0e86ebe26a42e95232021836
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