Instructions to use vhpvmx/test2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vhpvmx/test2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="vhpvmx/test2")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("vhpvmx/test2") model = AutoModelForMaskedLM.from_pretrained("vhpvmx/test2") - Notebooks
- Google Colab
- Kaggle
Add model via git
Browse files- pytorch_model.bin +3 -0
pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:82dfc71a0e01e21c70c6c818eabe752c5ccc2d499191ca0c131b5e7935b8525a
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size 442688629
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