Instructions to use pwcd/testvis with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pwcd/testvis with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="pwcd/testvis")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("pwcd/testvis") model = AutoModelForMaskedLM.from_pretrained("pwcd/testvis", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from pwcd/testvis: direct link, hf CLI and curl.
- Browser
- Download file 498 MB
-
https://huggingface.co/pwcd/testvis/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://pwcd/testvis/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/pwcd/testvis/resolve/main/pytorch_model.bin
498 MB
- Xet hash:
- 824df6870572da5c21ca5af99753f3c352b8771c0e3c970d34c9b10c8230b09f
- Size of remote file:
- 498 MB
- SHA256:
- e0c292dc17be6a282fec222769487a6ba059c569bc03c492440a54e7640fb3d0
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