Instructions to use Elbe/RoBERTaforIns with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Elbe/RoBERTaforIns with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="Elbe/RoBERTaforIns")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("Elbe/RoBERTaforIns") model = AutoModelForMaskedLM.from_pretrained("Elbe/RoBERTaforIns", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit ·
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Parent(s): 4c7ed05
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:cc0873df40167b40d6fb1cc2d36eeac7205566e666461c929f00910c4a3586e1
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size 266349505
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