Text Classification
Transformers
Safetensors
German
electra
historical-newspapers
ocr
job-advertisements
digital-humanities
Instructions to use Var3n/jobads-identification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Var3n/jobads-identification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Var3n/jobads-identification")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Var3n/jobads-identification") model = AutoModelForSequenceClassification.from_pretrained("Var3n/jobads-identification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download trainer_state.json from Var3n/jobads-identification: direct link, hf CLI and curl.
- Browser
- Download file 6.81 kB
-
https://huggingface.co/Var3n/jobads-identification/resolve/main/trainer_state.json
- Command line
-
hf download hf://Var3n/jobads-identification/trainer_state.json
-
curl -L -o trainer_state.json https://huggingface.co/Var3n/jobads-identification/resolve/main/trainer_state.json
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