Instructions to use nicktien/TaipeiQA_v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nicktien/TaipeiQA_v1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="nicktien/TaipeiQA_v1")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("nicktien/TaipeiQA_v1") model = AutoModelForSequenceClassification.from_pretrained("nicktien/TaipeiQA_v1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from nicktien/TaipeiQA_v1: direct link, hf CLI and curl.
- Browser
- Download file 3.44 kB
-
https://huggingface.co/nicktien/TaipeiQA_v1/resolve/main/training_args.bin
- Command line
-
hf download hf://nicktien/TaipeiQA_v1/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/nicktien/TaipeiQA_v1/resolve/main/training_args.bin
3.44 kB
- Xet hash:
- 01fbe0c9e318e728aebff73c00bcf4cf4ffad88921774e5be8d98a9c3f0a227d
- Size of remote file:
- 3.44 kB
- SHA256:
- c2afeb5b6a1d195c0efd342b715e92173d808c3eedb5367f20b0cec4856d7583
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