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")# pip install -U transformers accelerate # 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
Download checkpoint-681/training_args.bin from gerbejon/digilog-eform-classifier: direct link, hf CLI and curl.
- Browser
- Download file 5.3 kB
-
https://huggingface.co/gerbejon/digilog-eform-classifier/resolve/main/checkpoint-681/training_args.bin
- Command line
-
hf download hf://gerbejon/digilog-eform-classifier/checkpoint-681/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/gerbejon/digilog-eform-classifier/resolve/main/checkpoint-681/training_args.bin
5.3 kB
- Xet hash:
- 0acd6ab01163a75cd7c4596a1a612fec0ea49c89dbba1c001099ab77397b874a
- Size of remote file:
- 5.3 kB
- SHA256:
- c82899e96a4a3da07fe891ccfac25e58a294f4f9078446dc703903a1a90f3773
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