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:
- f8b1b3727d9a7e5fcc0f2332593a41a800c13adccded5501978db41ecadf9bf5
- Size of remote file:
- 5.3 kB
- SHA256:
- 0579d5f17fe16650af48a3029e1540e24f8069a317303f62b822b18ad54759be
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