Instructions to use JunxiongWang/BiGS_1024 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use JunxiongWang/BiGS_1024 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="JunxiongWang/BiGS_1024")# Load model directly from transformers import AutoModelForMaskedLM model = AutoModelForMaskedLM.from_pretrained("JunxiongWang/BiGS_1024", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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## Pretraining Without Attention(BiGS) <br>
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## Official JAX Models with maximal sequence length 1024<br>
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---
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license: apache-2.0
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datasets:
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- wikipedia
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- bookcorpus
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language:
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- en
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---
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## Pretraining Without Attention(BiGS) <br>
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## Official JAX Models with maximal sequence length 1024<br>
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