Transformers
Safetensors
distilbert
multi-label-classification
call-center-analytics
nlp
multi-task-learning
Instructions to use openchlsystem/CHS_tz_classifier_distilbert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use openchlsystem/CHS_tz_classifier_distilbert with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, MultiTaskDistilBert tokenizer = AutoTokenizer.from_pretrained("openchlsystem/CHS_tz_classifier_distilbert") model = MultiTaskDistilBert.from_pretrained("openchlsystem/CHS_tz_classifier_distilbert", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from openchlsystem/CHS_tz_classifier_distilbert: direct link, hf CLI and curl.
- Browser
- Download file 5.71 kB
-
https://huggingface.co/openchlsystem/CHS_tz_classifier_distilbert/resolve/main/training_args.bin
- Command line
-
hf download hf://openchlsystem/CHS_tz_classifier_distilbert/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/openchlsystem/CHS_tz_classifier_distilbert/resolve/main/training_args.bin
5.71 kB
- Xet hash:
- fa361b09e2fe49367ef3df0c9ea0347127ecb08ad4495d2ebd38e8db8a253ab8
- Size of remote file:
- 5.71 kB
- SHA256:
- 5fa539f245fd4481adfe9fbe970e782ae8f948331d95202a4748b223b3b02d21
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