Instructions to use hoang14/test_mistral_tool_1536ctx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use hoang14/test_mistral_tool_1536ctx with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("mistralai/Mistral-7B-v0.1") model = PeftModel.from_pretrained(base_model, "hoang14/test_mistral_tool_1536ctx") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9cae1111ee995e8970e0ca537df8f49cd3ee9b987ec1948ceb7ff2708c315dde
- Size of remote file:
- 4.09 kB
- SHA256:
- 50f112db9673beb21a3063d7628a0fc2882d2f71175407d35146f0fd4e600801
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.