Instructions to use tennessejoyce/titlewave-bert-base-uncased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tennessejoyce/titlewave-bert-base-uncased with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="tennessejoyce/titlewave-bert-base-uncased")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("tennessejoyce/titlewave-bert-base-uncased") model = AutoModelForSequenceClassification.from_pretrained("tennessejoyce/titlewave-bert-base-uncased", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0a8cd2350d128d829b6ad06b1852e07360e559a522702d897836dfd9443bdd0f
- Size of remote file:
- 438 MB
- SHA256:
- e76c160dbcf8871b839e68740a2b463ee5901e71da07e237e512e8d98bdbb442
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