Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
text-embeddings-inference
Instructions to use Shinee21/1008model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Shinee21/1008model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Shinee21/1008model")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Shinee21/1008model") model = AutoModelForSequenceClassification.from_pretrained("Shinee21/1008model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 80ef02452570b1b435ee6c7bab0b5ea175d04be328b835a5c4e15722cafa3e5a
- Size of remote file:
- 436 MB
- SHA256:
- e845b4aa2ffd9eb8619b4312b24ea439e009a2d5f49d9acfe385e89e65109475
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