Instructions to use nyu-mll/roberta-base-100M-1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nyu-mll/roberta-base-100M-1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="nyu-mll/roberta-base-100M-1")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("nyu-mll/roberta-base-100M-1") model = AutoModelForMaskedLM.from_pretrained("nyu-mll/roberta-base-100M-1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit ·
cc1cede
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Parent(s): da76b20
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 sha256:197e7bc65934b65206ea868267a5ee2e6e39b1a81b51a1406af7745b28b9d657
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size 498796983
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