Instructions to use Yanjie/message-intent with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Yanjie/message-intent with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Yanjie/message-intent")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Yanjie/message-intent") model = AutoModelForSequenceClassification.from_pretrained("Yanjie/message-intent", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from Yanjie/message-intent: direct link, hf CLI and curl.
- Browser
- Download file 268 MB
-
https://huggingface.co/Yanjie/message-intent/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://Yanjie/message-intent/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Yanjie/message-intent/resolve/main/pytorch_model.bin
268 MB
- Xet hash:
- 2a1502ec22cfbda01663d5f8329ee53ee66225340b8051dd33fdd84f98d8e406
- Size of remote file:
- 268 MB
- SHA256:
- 118639945c7d00041a1d095e16601100efbb463fa0b26c112fe1f39b5fea4660
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