Instructions to use DataAnalyticsLab/Symbolic-Symmetric-Classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DataAnalyticsLab/Symbolic-Symmetric-Classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="DataAnalyticsLab/Symbolic-Symmetric-Classifier")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("DataAnalyticsLab/Symbolic-Symmetric-Classifier") model = AutoModelForSequenceClassification.from_pretrained("DataAnalyticsLab/Symbolic-Symmetric-Classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from DataAnalyticsLab/Symbolic-Symmetric-Classifier: direct link, hf CLI and curl.
- Browser
- Download file 438 MB
-
https://huggingface.co/DataAnalyticsLab/Symbolic-Symmetric-Classifier/resolve/main/model.safetensors
- Command line
-
hf download hf://DataAnalyticsLab/Symbolic-Symmetric-Classifier/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/DataAnalyticsLab/Symbolic-Symmetric-Classifier/resolve/main/model.safetensors
438 MB
- Xet hash:
- 87bae4cca04fc9ac1f991c5fb8e1a06ea48d3755694a510a2fa763881811d30a
- Size of remote file:
- 438 MB
- SHA256:
- b4146db63ec4c36209149b37e5ddf8b84ebda7538b88359f148a671fd562005c
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