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
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:99812b4b01cd920f47ea98f661e2412cc1ffaeb3d3a3fd1426db98e6245ac121
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size 498322532
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