Text Classification
Transformers
Safetensors
xlm-roberta
Generated from Trainer
text-embeddings-inference
Instructions to use nattkorat/trigger-event-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nattkorat/trigger-event-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="nattkorat/trigger-event-classifier")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("nattkorat/trigger-event-classifier") model = AutoModelForSequenceClassification.from_pretrained("nattkorat/trigger-event-classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from nattkorat/trigger-event-classifier: direct link, hf CLI and curl.
- Browser
- Download file 5.71 kB
-
https://huggingface.co/nattkorat/trigger-event-classifier/resolve/main/training_args.bin
- Command line
-
hf download hf://nattkorat/trigger-event-classifier/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/nattkorat/trigger-event-classifier/resolve/main/training_args.bin
5.71 kB
- Xet hash:
- 3dc66085d874b746b5cebac38cb9e5bcce02ee99469f0ab54d633f6f30ede0f3
- Size of remote file:
- 5.71 kB
- SHA256:
- 190a2475569561ce082a6b4acea1cd8783a077bd722afa6a5828291d9088fd52
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