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:
- 25bf9d36a9376be82d913b5ea6791b283399c8beece2de3fd97a23bb358cd890
- Size of remote file:
- 1.06 kB
- SHA256:
- f68d10cb06ea356a076afc72bcb69890b9a3ee0fc15d6134feb701d2cfc90677
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