Instructions to use NeelNanda/Attn_Only_1L512W_C4_Code with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use NeelNanda/Attn_Only_1L512W_C4_Code with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("NeelNanda/Attn_Only_1L512W_C4_Code", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download optimizer_state_dict.pth from NeelNanda/Attn_Only_1L512W_C4_Code: direct link, hf CLI and curl.
- Browser
- Download file 408 MB
-
https://huggingface.co/NeelNanda/Attn_Only_1L512W_C4_Code/resolve/main/optimizer_state_dict.pth
- Command line
-
hf download hf://NeelNanda/Attn_Only_1L512W_C4_Code/optimizer_state_dict.pth
-
curl -L -o optimizer_state_dict.pth https://huggingface.co/NeelNanda/Attn_Only_1L512W_C4_Code/resolve/main/optimizer_state_dict.pth
408 MB
- Xet hash:
- c08e5549c5def35c05d69a0c02155c7023fb169b90e10fe6d02263a530be53d7
- Size of remote file:
- 408 MB
- SHA256:
- dd865df79871f16f2481ce5623a444bcbb3c59951059ae4741c3569e809f9e62
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.