Instructions to use nattkorat/trigger_id with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nattkorat/trigger_id with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="nattkorat/trigger_id")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("nattkorat/trigger_id") model = AutoModelForTokenClassification.from_pretrained("nattkorat/trigger_id", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from nattkorat/trigger_id: direct link, hf CLI and curl.
- Browser
- Download file 5.65 kB
-
https://huggingface.co/nattkorat/trigger_id/resolve/main/training_args.bin
- Command line
-
hf download hf://nattkorat/trigger_id/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/nattkorat/trigger_id/resolve/main/training_args.bin
5.65 kB
- Xet hash:
- 7023c87bdbc12d2afe110ab0bf30768f6e2105aeec7d48b9a8a7b8a7abdc01c4
- Size of remote file:
- 5.65 kB
- SHA256:
- 048e61b49aa4ebb709632e65ae16f31cc2deca3db155c10ee14ebff047da76a2
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