Instructions to use Tiiny/Bamboo-base-v0_1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Tiiny/Bamboo-base-v0_1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="Tiiny/Bamboo-base-v0_1", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Tiiny/Bamboo-base-v0_1", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Yixin Song commited on
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README.md
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## Limitation & Disclaimer
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- Bamboo, having undergone training with only
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- The Bamboo model has only been trained on English-language datasets, hence its capabilities in other languages are still lacking.
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- The model may produce unexpected outputs due to its size and probabilistic generation paradigm.
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## Limitation & Disclaimer
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- Bamboo, having undergone training with only 150B tokens, may still exhibit performance gaps in certain tasks.
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- The Bamboo model has only been trained on English-language datasets, hence its capabilities in other languages are still lacking.
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- The model may produce unexpected outputs due to its size and probabilistic generation paradigm.
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