Instructions to use worldbank/jobless-bert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use worldbank/jobless-bert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="worldbank/jobless-bert")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("worldbank/jobless-bert") model = AutoModelForSequenceClassification.from_pretrained("worldbank/jobless-bert", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download optimizer.pt from worldbank/jobless-bert: direct link, hf CLI and curl.
- Browser
- Download file 867 MB
-
https://huggingface.co/worldbank/jobless-bert/resolve/main/optimizer.pt
- Command line
-
hf download hf://worldbank/jobless-bert/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/worldbank/jobless-bert/resolve/main/optimizer.pt
867 MB
- Xet hash:
- 3d74eef4dca6e5fc18d004b008398d198b950921eee42b7f0e2e8a9bb5eb040b
- Size of remote file:
- 867 MB
- SHA256:
- 2fadceea0f2d0861b8228a2112fff7f8d5e0423f95c1534bf1cc452c87c7664d
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