Instructions to use fedovtt/c31b165c-5667-479f-8bbf-e8a7bed9b751 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use fedovtt/c31b165c-5667-479f-8bbf-e8a7bed9b751 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("echarlaix/tiny-random-mistral") model = PeftModel.from_pretrained(base_model, "fedovtt/c31b165c-5667-479f-8bbf-e8a7bed9b751") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.safetensors from fedovtt/c31b165c-5667-479f-8bbf-e8a7bed9b751: direct link, hf CLI and curl.
- Browser
- Download file 58.7 kB
-
https://huggingface.co/fedovtt/c31b165c-5667-479f-8bbf-e8a7bed9b751/resolve/main/adapter_model.safetensors
- Command line
-
hf download hf://fedovtt/c31b165c-5667-479f-8bbf-e8a7bed9b751/adapter_model.safetensors
-
curl -L -o adapter_model.safetensors https://huggingface.co/fedovtt/c31b165c-5667-479f-8bbf-e8a7bed9b751/resolve/main/adapter_model.safetensors
58.7 kB
- Xet hash:
- ef208917ad928230d490bea9ea60aa17a3806499b6476e32c4b71ab49c25817c
- Size of remote file:
- 58.7 kB
- SHA256:
- 454d529299c5503d2ea5e0eae726bea14d7f436fb5a9ff01cfd8d920cd9daf72
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