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:
- 53ab4b42cf1cc84cd41db734c8f21b2bf050309774938721c1210b026da6e905
- Size of remote file:
- 14.2 kB
- SHA256:
- a8ddc5cce0545d1faeb5ea787dd65e4c185c739f84517931ea5488654960ada1
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