Instructions to use johnny9604/pbl_electra with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use johnny9604/pbl_electra with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="johnny9604/pbl_electra")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("johnny9604/pbl_electra") model = AutoModelForTokenClassification.from_pretrained("johnny9604/pbl_electra", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from johnny9604/pbl_electra: direct link, hf CLI and curl.
- Browser
- Download file 449 MB
-
https://huggingface.co/johnny9604/pbl_electra/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://johnny9604/pbl_electra/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/johnny9604/pbl_electra/resolve/main/pytorch_model.bin
449 MB
- Xet hash:
- 6ffef9ebbc577780af7a71560a376d5a54c0683d7970a49d856ed735d7c32481
- Size of remote file:
- 449 MB
- SHA256:
- ea8b6d0ae6018a5e491e5e52164d52f184fc2cc4e44c8371ab4e5f67ff6a5973
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