Instructions to use apriasmoro/5401ffa9-6e3d-478c-aac2-e3aff6d7efc7 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use apriasmoro/5401ffa9-6e3d-478c-aac2-e3aff6d7efc7 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("jhflow/mistral7b-lora-multi-turn-v2") model = PeftModel.from_pretrained(base_model, "apriasmoro/5401ffa9-6e3d-478c-aac2-e3aff6d7efc7") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.model from apriasmoro/5401ffa9-6e3d-478c-aac2-e3aff6d7efc7: direct link, hf CLI and curl.
- Browser
- Download file 493 kB
-
https://huggingface.co/apriasmoro/5401ffa9-6e3d-478c-aac2-e3aff6d7efc7/resolve/f6dc3cb80bd41995ebda5c6559ec1298769981b4/tokenizer.model
- Command line
-
hf download hf://apriasmoro/5401ffa9-6e3d-478c-aac2-e3aff6d7efc7@f6dc3cb80bd41995ebda5c6559ec1298769981b4/tokenizer.model
-
curl -L -o tokenizer.model https://huggingface.co/apriasmoro/5401ffa9-6e3d-478c-aac2-e3aff6d7efc7/resolve/f6dc3cb80bd41995ebda5c6559ec1298769981b4/tokenizer.model
493 kB
- Xet hash:
- 1e090c2d2774ea7875da72d682c12600bd69085e9c28674b917a49fe82ccffe2
- Size of remote file:
- 493 kB
- SHA256:
- dadfd56d766715c61d2ef780a525ab43b8e6da4de6865bda3d95fdef5e134055
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