Instructions to use ragarwal/args-me-roberta-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ragarwal/args-me-roberta-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="ragarwal/args-me-roberta-base")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("ragarwal/args-me-roberta-base") model = AutoModelForMaskedLM.from_pretrained("ragarwal/args-me-roberta-base") - Notebooks
- Google Colab
- Kaggle
Commit ·
11603ec
1
Parent(s): 6a106d5
upload flax model
Browse files- flax_model.msgpack +3 -0
flax_model.msgpack
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version https://git-lfs.github.com/spec/v1
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oid sha256:bc60fbae0a0a4b46e7b54511b6494a1990cd76a31db50ff3dac8a4bd8bf5ad5a
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size 498796983
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