Instructions to use Mukundhan32/RobertaCnnRnnFnnTransformer2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Mukundhan32/RobertaCnnRnnFnnTransformer2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="Mukundhan32/RobertaCnnRnnFnnTransformer2")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("Mukundhan32/RobertaCnnRnnFnnTransformer2") model = AutoModelForMaskedLM.from_pretrained("Mukundhan32/RobertaCnnRnnFnnTransformer2") - 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 sha256:9c13e6210c3233e74f29c02b5bbd292797fd4ad2897ef688d669d746f3476c83
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size 505872584
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