Instructions to use shareAI/bimoGPT-llama2-13b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use shareAI/bimoGPT-llama2-13b with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="shareAI/bimoGPT-llama2-13b")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("shareAI/bimoGPT-llama2-13b", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1e75461a77fae06bfb893c032795912268b143071a1dc89617621119190ee99a
- Size of remote file:
- 563 MB
- SHA256:
- ba4b99904d26979b93a940060efef7d3a7bc37ae751104edcbdf7229f4c7068a
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