Instructions to use linyi/ern3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use linyi/ern3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="linyi/ern3")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("linyi/ern3") model = AutoModelForMaskedLM.from_pretrained("linyi/ern3", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from linyi/ern3: direct link, hf CLI and curl.
- Browser
- Download file 472 MB
-
https://huggingface.co/linyi/ern3/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://linyi/ern3/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/linyi/ern3/resolve/main/pytorch_model.bin
472 MB
- Xet hash:
- f3346508c5810796f0850372526d8108a591d701310436fd994926dae75ee5c0
- Size of remote file:
- 472 MB
- SHA256:
- 9da04eca5fdb70afcfa5b69ab49f011a67e7423ce04689883be882dd5bb316cc
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