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:
- 0e396acffe67b08b85b53d1c51d6937af0a05b30bd5797878e385311d0dacff1
- Size of remote file:
- 268 MB
- SHA256:
- e0ffb347b723b726724e49ca45c962d0eb4c7bfb406af8848df846bd39c722b7
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