Instructions to use StormZJ/test1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use StormZJ/test1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="StormZJ/test1")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("StormZJ/test1") model = AutoModelForMaskedLM.from_pretrained("StormZJ/test1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from StormZJ/test1: direct link, hf CLI and curl.
- Browser
- Download file 438 MB
-
https://huggingface.co/StormZJ/test1/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://StormZJ/test1/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/StormZJ/test1/resolve/main/pytorch_model.bin
438 MB
- Xet hash:
- 34ef1363ffdded49b00ff71e69fc0df03e88e851d106ccb769bce8ff1f5b7a20
- Size of remote file:
- 438 MB
- SHA256:
- 5cc3314ae352ec33353c63ae26dd3a0940d41060467e706b44c3386dd7f36a95
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