Text Classification
Transformers
TensorBoard
Safetensors
bert
Lee
10_class
Generated from Trainer
text-embeddings-inference
Instructions to use CodeJohnwick/model_output with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CodeJohnwick/model_output with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="CodeJohnwick/model_output")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("CodeJohnwick/model_output") model = AutoModelForSequenceClassification.from_pretrained("CodeJohnwick/model_output") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ed4173bdc24621bde8054e4bfa544c6a805c68e569fcaf76679ab9f307ba422f
- Size of remote file:
- 436 MB
- SHA256:
- e98b5e7a96cdcd1966f2a9c54a71b63f77b293d58fac4ffac4a93815eec1f046
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