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 merges.txt from fedovtt/b1f440f8-d0dd-4e79-b0da-d368c33b96af: direct link, hf CLI and curl.
- Browser
- Download file 1.67 MB
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https://huggingface.co/fedovtt/b1f440f8-d0dd-4e79-b0da-d368c33b96af/resolve/main/merges.txt
- Command line
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hf download hf://fedovtt/b1f440f8-d0dd-4e79-b0da-d368c33b96af/merges.txt
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curl -L -o merges.txt https://huggingface.co/fedovtt/b1f440f8-d0dd-4e79-b0da-d368c33b96af/resolve/main/merges.txt
1.67 MB
File too large to display, you can check the raw version instead.