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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 99be895c99bbf663ef72a6cfcacadd3935c329fb31a04336617b61d39569865f
- Size of remote file:
- 1.08 GB
- SHA256:
- 144218efe1fef1c2c390d64e4f58fbe37d0a01f1de182c503d6e376125010be9
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