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:
- abb6d1de997c658be6ec819c3bc696234fa73657e886b63fffed3c759dfb3469
- Size of remote file:
- 5.18 kB
- SHA256:
- 12816cdaf9235f1b189c984507ee5cbdb2239a898bc3adbf5c6920782dd49c6e
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