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:
- 123313150d5ecadc6882657e5cf25c83d80e880e408ccd98d511895be6c22e58
- Size of remote file:
- 3.52 kB
- SHA256:
- a80f69e1e3c1c4771e65f0d0a3079b15cae112bd3959082bc493c8915271e2a8
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