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 adapter_model.bin from fedovtt/b1f440f8-d0dd-4e79-b0da-d368c33b96af: direct link, hf CLI and curl.
- Browser
- Download file 74 MB
-
https://huggingface.co/fedovtt/b1f440f8-d0dd-4e79-b0da-d368c33b96af/resolve/main/adapter_model.bin
- Command line
-
hf download hf://fedovtt/b1f440f8-d0dd-4e79-b0da-d368c33b96af/adapter_model.bin
-
curl -L -o adapter_model.bin https://huggingface.co/fedovtt/b1f440f8-d0dd-4e79-b0da-d368c33b96af/resolve/main/adapter_model.bin
74 MB
- Xet hash:
- 6615f7fbce1cbf2a7a6cda2fe90e9e81c7105caf97a0b9a55ba4d537a5bf0c97
- Size of remote file:
- 74 MB
- SHA256:
- e56e88b83daddeb27308be08bf67306afc903947ac106ad84a1042c5e3b142bc
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