Instructions to use Yanjie/message-preamble with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Yanjie/message-preamble with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Yanjie/message-preamble")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Yanjie/message-preamble") model = AutoModelForSequenceClassification.from_pretrained("Yanjie/message-preamble", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from Yanjie/message-preamble: direct link, hf CLI and curl.
- Browser
- Download file 268 MB
-
https://huggingface.co/Yanjie/message-preamble/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://Yanjie/message-preamble/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Yanjie/message-preamble/resolve/main/pytorch_model.bin
268 MB
- Xet hash:
- e9a04db39c56b677e56dce84b7a44fa1d09357358100eb1a82d58f0a4296d033
- Size of remote file:
- 268 MB
- SHA256:
- c9e655f81fb22f464ea28fe5b1ccb4d3c1f06d1a9ff63e01b328e56e78cad87e
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