Text Classification
Transformers
Safetensors
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use San-Analytics/classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use San-Analytics/classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="San-Analytics/classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("San-Analytics/classifier") model = AutoModelForSequenceClassification.from_pretrained("San-Analytics/classifier") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d3b83a9acb66a5cb5f8b9f3a152f60617dc6263ba557bfadf312749ec204ae96
- Size of remote file:
- 5.33 kB
- SHA256:
- 52b490c10594d6bd2caae2fbdf5b12d3c50285af30b751b62c468f148aa43d8a
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.