Instructions to use Yanjie/autosend with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Yanjie/autosend with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Yanjie/autosend")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Yanjie/autosend") model = AutoModelForSequenceClassification.from_pretrained("Yanjie/autosend", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from Yanjie/autosend: direct link, hf CLI and curl.
- Browser
- Download file 268 MB
-
https://huggingface.co/Yanjie/autosend/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://Yanjie/autosend/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Yanjie/autosend/resolve/main/pytorch_model.bin
268 MB
- Xet hash:
- 1019ccc8aab3908746f678d7130df95723ee00bba3e5b99984b1d540d6dfec0b
- Size of remote file:
- 268 MB
- SHA256:
- 3b989e4f6f886a585add4e128a96d93778dab770f30bd8cfd0e8f20ea11e291a
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.