Instructions to use fedovtt/43cd6feb-7235-49e5-bd3e-8cc6343b544b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use fedovtt/43cd6feb-7235-49e5-bd3e-8cc6343b544b with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("NousResearch/Hermes-2-Pro-Mistral-7B") model = PeftModel.from_pretrained(base_model, "fedovtt/43cd6feb-7235-49e5-bd3e-8cc6343b544b") - Notebooks
- Google Colab
- Kaggle
Download last-checkpoint/training_args.bin from fedovtt/43cd6feb-7235-49e5-bd3e-8cc6343b544b: direct link, hf CLI and curl.
- Browser
- Download file 6.78 kB
-
https://huggingface.co/fedovtt/43cd6feb-7235-49e5-bd3e-8cc6343b544b/resolve/main/last-checkpoint/training_args.bin
- Command line
-
hf download hf://fedovtt/43cd6feb-7235-49e5-bd3e-8cc6343b544b/last-checkpoint/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/fedovtt/43cd6feb-7235-49e5-bd3e-8cc6343b544b/resolve/main/last-checkpoint/training_args.bin
6.78 kB
- Xet hash:
- 54695a01e556916fdb20901500bb9a18fa78f679432ccce85fffc96a7d559b3d
- Size of remote file:
- 6.78 kB
- SHA256:
- 116e1269c99ad49323fd1fe5339a575f6715bfb19b83569558b3ae6a4b4ea30e
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