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 added_tokens.json from fedovtt/b1f440f8-d0dd-4e79-b0da-d368c33b96af: direct link, hf CLI and curl.
- Browser
- Download file 80 Bytes
-
https://huggingface.co/fedovtt/b1f440f8-d0dd-4e79-b0da-d368c33b96af/resolve/main/added_tokens.json
- Command line
-
hf download hf://fedovtt/b1f440f8-d0dd-4e79-b0da-d368c33b96af/added_tokens.json
-
curl -L -o added_tokens.json https://huggingface.co/fedovtt/b1f440f8-d0dd-4e79-b0da-d368c33b96af/resolve/main/added_tokens.json
80 Bytes
| { | |
| "<|endoftext|>": 151643, | |
| "<|im_end|>": 151645, | |
| "<|im_start|>": 151644 | |
| } | |