Instructions to use Wesleythu/init_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Wesleythu/init_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="Wesleythu/init_model")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("Wesleythu/init_model") model = AutoModel.from_pretrained("Wesleythu/init_model") - Notebooks
- Google Colab
- Kaggle
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license: mit
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license: mit
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The model is trained based on LLAMA 2. Please adhere to license.
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We use a subset of TULU v2 instruction tuning corpus to train the model.
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We use a subset of TULU v2 instruction tuning corpus to train the model.
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