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 optimizer.pt from estrogen/DeepSeek-R1-7B-Distill-Ink-ep1-adpt-broken-tokenizer: direct link, hf CLI and curl.
- Browser
- Download file 82.5 MB
-
https://huggingface.co/estrogen/DeepSeek-R1-7B-Distill-Ink-ep1-adpt-broken-tokenizer/resolve/main/optimizer.pt
- Command line
-
hf download hf://estrogen/DeepSeek-R1-7B-Distill-Ink-ep1-adpt-broken-tokenizer/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/estrogen/DeepSeek-R1-7B-Distill-Ink-ep1-adpt-broken-tokenizer/resolve/main/optimizer.pt
82.5 MB
- Xet hash:
- d1c665df3cbb93c156c68c5c3fe90995254c99fec7ccf031f317c2aea25c3893
- Size of remote file:
- 82.5 MB
- SHA256:
- 6224fd6fe84ab558b176bc3c604e321fbe95bfbfbed0d27caf035856c9d7d6fa
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