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:
- 5aa32e03e6f9e465a63c843c89315374465b199b7d7c201b8a00decab7bc2600
- Size of remote file:
- 4.09 kB
- SHA256:
- bcf0a0bddb6c9a9f308c73c454c7697a3cbe5ae7eac879099232dac126d76a62
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