Instructions to use nyu-mll/roberta-base-10M-1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nyu-mll/roberta-base-10M-1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="nyu-mll/roberta-base-10M-1")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("nyu-mll/roberta-base-10M-1") model = AutoModelForMaskedLM.from_pretrained("nyu-mll/roberta-base-10M-1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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version https://git-lfs.github.com/spec/v1
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oid sha256:9606de38a8e8e553161b8c1396efb5bd4e778d52123dde45dd253b8cc1192c91
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size 501402678
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