Instructions to use omarmomen/roberta_base_32k_final with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use omarmomen/roberta_base_32k_final with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="omarmomen/roberta_base_32k_final")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("omarmomen/roberta_base_32k_final") model = AutoModelForMaskedLM.from_pretrained("omarmomen/roberta_base_32k_final") - Notebooks
- Google Colab
- Kaggle
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README.md
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<strong>omarmomen/roberta_base_32k_final</strong> is a baseline RobertaModel.
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The model is pretrained on the BabyLM 10M dataset using a custom pretrained RobertaTokenizer (https://huggingface.co/omarmomen/babylm_tokenizer_32k).
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<strong>omarmomen/roberta_base_32k_final</strong> is a baseline RobertaModel.
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The model is pretrained on the BabyLM 10M dataset using a custom pretrained RobertaTokenizer (https://huggingface.co/omarmomen/babylm_tokenizer_32k).
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https://arxiv.org/abs/2310.20589
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