Instructions to use hai2131/abte-bert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hai2131/abte-bert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="hai2131/abte-bert")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("hai2131/abte-bert") model = AutoModelForTokenClassification.from_pretrained("hai2131/abte-bert", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from hai2131/abte-bert: direct link, hf CLI and curl.
- Browser
- Download file 5.3 kB
-
https://huggingface.co/hai2131/abte-bert/resolve/main/training_args.bin
- Command line
-
hf download hf://hai2131/abte-bert/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/hai2131/abte-bert/resolve/main/training_args.bin
5.3 kB
- Xet hash:
- 8259e20faf47e63441a2198b2b8ba71654396f932d0f2e6a50da1b528b6fd65d
- Size of remote file:
- 5.3 kB
- SHA256:
- 057e06400d2299e5e8d5ed9408f3c9c82c7f6c6f857b57cf0be8e3cacfe347b4
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