Instructions to use estrogen/DeepSeek-R1-7B-Distill-Ink-ep1-adpt-broken-tokenizer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use estrogen/DeepSeek-R1-7B-Distill-Ink-ep1-adpt-broken-tokenizer with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("deepseek-ai/DeepSeek-R1-Distill-Qwen-7B") model = PeftModel.from_pretrained(base_model, "estrogen/DeepSeek-R1-7B-Distill-Ink-ep1-adpt-broken-tokenizer") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from estrogen/DeepSeek-R1-7B-Distill-Ink-ep1-adpt-broken-tokenizer: direct link, hf CLI and curl.
- Browser
- Download file 11.4 MB
-
https://huggingface.co/estrogen/DeepSeek-R1-7B-Distill-Ink-ep1-adpt-broken-tokenizer/resolve/main/tokenizer.json
- Command line
-
hf download hf://estrogen/DeepSeek-R1-7B-Distill-Ink-ep1-adpt-broken-tokenizer/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/estrogen/DeepSeek-R1-7B-Distill-Ink-ep1-adpt-broken-tokenizer/resolve/main/tokenizer.json
11.4 MB
- Xet hash:
- 78af695675c4fc8453e45a039d33450bec835340edcdac08f9a1af71f046ab0d
- Size of remote file:
- 11.4 MB
- SHA256:
- e20ddafc659ba90242154b55275402edeca0715e5dbb30f56815a4ce081f4893
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.