Text Classification
Transformers
PyTorch
English
distilbert
classification
text-embeddings-inference
Instructions to use lingwave-admin/state-op-detector with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lingwave-admin/state-op-detector with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="lingwave-admin/state-op-detector")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("lingwave-admin/state-op-detector") model = AutoModelForSequenceClassification.from_pretrained("lingwave-admin/state-op-detector", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f1d3a89233a6a0e9d412251014b1ee5fee5acc970807083312e1ad66d34ca8fd
- Size of remote file:
- 3.06 kB
- SHA256:
- c34b98acc12b269e9e936018cce9c19333671970e5438d9303cd9012b121fa38
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