Text Classification
Transformers
PyTorch
Safetensors
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use evamaxfield/soft-search with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use evamaxfield/soft-search with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="evamaxfield/soft-search")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("evamaxfield/soft-search") model = AutoModelForSequenceClassification.from_pretrained("evamaxfield/soft-search", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d5724f9ff0dcb3df6d5cd143adcdc81d69f50685ad3b75c92e2ea655c203d8af
- Size of remote file:
- 268 MB
- SHA256:
- 7a1c00f82811c34979ace27655c3cd1becc4cb9cb3b82b489fef61d0458fc090
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