Instructions to use fedovtt/b1f440f8-d0dd-4e79-b0da-d368c33b96af with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use fedovtt/b1f440f8-d0dd-4e79-b0da-d368c33b96af with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("dunzhang/stella_en_1.5B_v5") model = PeftModel.from_pretrained(base_model, "fedovtt/b1f440f8-d0dd-4e79-b0da-d368c33b96af") - Notebooks
- Google Colab
- Kaggle
Download last-checkpoint/adapter_model.safetensors from fedovtt/b1f440f8-d0dd-4e79-b0da-d368c33b96af: direct link, hf CLI and curl.
- Browser
- Download file 73.9 MB
-
https://huggingface.co/fedovtt/b1f440f8-d0dd-4e79-b0da-d368c33b96af/resolve/main/last-checkpoint/adapter_model.safetensors
- Command line
-
hf download hf://fedovtt/b1f440f8-d0dd-4e79-b0da-d368c33b96af/last-checkpoint/adapter_model.safetensors
-
curl -L -o adapter_model.safetensors https://huggingface.co/fedovtt/b1f440f8-d0dd-4e79-b0da-d368c33b96af/resolve/main/last-checkpoint/adapter_model.safetensors
73.9 MB
- Xet hash:
- 5a352fe74f8091ba09f2d94943c1f1125092248020f4fcb59ce2f1261049dad7
- Size of remote file:
- 73.9 MB
- SHA256:
- ef1ca1ff1e072ffec967a54769a8c1850aa3c5d1980352f8308959b2e4fd9ae6
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