Instructions to use phunc20/vina-cased-tmp with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use phunc20/vina-cased-tmp with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="phunc20/vina-cased-tmp")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("phunc20/vina-cased-tmp") model = AutoModelForMaskedLM.from_pretrained("phunc20/vina-cased-tmp", 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 sha256:1d659fab90eaa27c875de41a832443225a1291c447fe026c20a01780bffc85aa
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size 436479912
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