Instructions to use daniel3303/PixtralGroundCap with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use daniel3303/PixtralGroundCap with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("mistral-community/pixtral-12b") model = PeftModel.from_pretrained(base_model, "daniel3303/PixtralGroundCap") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7d165da5969b990266640365acaf518bfd8240f19973153aa8e134f251400e94
- Size of remote file:
- 17.1 MB
- SHA256:
- 2b1e488440cc63247b452a268376fb9d802bd9d4419e8749a7f3f476f38fef57
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