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-1500/optimizer.pt from gerbejon/digilog-eform-classifier: direct link, hf CLI and curl.
- Browser
- Download file 1.08 GB
-
https://huggingface.co/gerbejon/digilog-eform-classifier/resolve/main/checkpoint-1500/optimizer.pt
- Command line
-
hf download hf://gerbejon/digilog-eform-classifier/checkpoint-1500/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/gerbejon/digilog-eform-classifier/resolve/main/checkpoint-1500/optimizer.pt
1.08 GB
- Xet hash:
- 613e60bce8a447f192196c6a3196f652178f3e90e044ae3c4c40a95aaaddec32
- Size of remote file:
- 1.08 GB
- SHA256:
- ba174cbeb794b3831391b9c0ed3103d7e929b88f5f961793354401071dfdcb80
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