Instructions to use hacky/acchead-llama2-chat-7bx70b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hacky/acchead-llama2-chat-7bx70b with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("hacky/acchead-llama2-chat-7bx70b", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 02773f07610f9d2c0e227d5ff91dcc8329e3de497dbc3d5e14157091097ea9b8
- Size of remote file:
- 67.2 MB
- SHA256:
- ea562832f86ec220877d5596374368b3c8d834d0bed3678b6750d010c8bf6218
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