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:
- 05580f1b5e4f0d004f27a38c666751dd666884b757c7efb672c609166c2275a6
- Size of remote file:
- 4.09 kB
- SHA256:
- a26af16d2bd30d8c33ec9bb302416b07288015bceb3b984c2c0064c4769fd4a0
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