Instructions to use payelb/ctrate_bert_medium with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use payelb/ctrate_bert_medium with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="payelb/ctrate_bert_medium")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("payelb/ctrate_bert_medium") model = AutoModelForSequenceClassification.from_pretrained("payelb/ctrate_bert_medium") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 96c35c60dc3738f075fbe5ab5311a9bc60a5c3c35c21bfc3cca2a894187faeed
- Size of remote file:
- 5.37 kB
- SHA256:
- 33ceee351dff131eba1f91dca507e7864c51037548c173dd741a11e584714a14
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