Instructions to use pwcd/test1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pwcd/test1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="pwcd/test1")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("pwcd/test1") model = AutoModelForMaskedLM.from_pretrained("pwcd/test1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from pwcd/test1: direct link, hf CLI and curl.
- Browser
- Download file 498 MB
-
https://huggingface.co/pwcd/test1/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://pwcd/test1/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/pwcd/test1/resolve/main/pytorch_model.bin
498 MB
- Xet hash:
- d673f598fd81989b84c553e45879e72ba7508fad0ca624566bd4c5e2b3689686
- Size of remote file:
- 498 MB
- SHA256:
- 8c4447baeb1a5196f1418b32fe176992dc261083e4bc213272bd8e9446790127
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