Text Classification
Transformers
Safetensors
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use gerbejon/digilog-eform-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gerbejon/digilog-eform-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="gerbejon/digilog-eform-classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("gerbejon/digilog-eform-classifier") model = AutoModelForSequenceClassification.from_pretrained("gerbejon/digilog-eform-classifier") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 22656240303d3f2d9313736d5e5f5ed35bb03580dcf752a27c4d5b08a078c592
- Size of remote file:
- 1.06 kB
- SHA256:
- bfb7096f51f7fe636183113ecd99621958f06feb8078fab0f07288854f035563
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