Text Classification
Transformers
Safetensors
xlm-roberta
Generated from Trainer
text-embeddings-inference
Instructions to use nattkorat/trigger_cls with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nattkorat/trigger_cls with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="nattkorat/trigger_cls")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("nattkorat/trigger_cls") model = AutoModelForSequenceClassification.from_pretrained("nattkorat/trigger_cls", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from nattkorat/trigger_cls: direct link, hf CLI and curl.
- Browser
- Download file 5.65 kB
-
https://huggingface.co/nattkorat/trigger_cls/resolve/main/training_args.bin
- Command line
-
hf download hf://nattkorat/trigger_cls/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/nattkorat/trigger_cls/resolve/main/training_args.bin
5.65 kB
- Xet hash:
- 8c8e5c568356469e770677585c9359fb4dc15be17983997ea833880c8d964eb5
- Size of remote file:
- 5.65 kB
- SHA256:
- 69a3815867273babbd0cf5571f3c164b284d70e9548bb7b5978c16376a0ee6e8
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