Instructions to use lostinjamal/fa49a31a-5d0b-474c-9a6a-6b8d97fbd0f6 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lostinjamal/fa49a31a-5d0b-474c-9a6a-6b8d97fbd0f6 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("lostinjamal/fa49a31a-5d0b-474c-9a6a-6b8d97fbd0f6", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Download last-checkpoint/optimizer.pt from lostinjamal/fa49a31a-5d0b-474c-9a6a-6b8d97fbd0f6: direct link, hf CLI and curl.
- Browser
- Download file 504 MB
-
https://huggingface.co/lostinjamal/fa49a31a-5d0b-474c-9a6a-6b8d97fbd0f6/resolve/main/last-checkpoint/optimizer.pt
- Command line
-
hf download hf://lostinjamal/fa49a31a-5d0b-474c-9a6a-6b8d97fbd0f6/last-checkpoint/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/lostinjamal/fa49a31a-5d0b-474c-9a6a-6b8d97fbd0f6/resolve/main/last-checkpoint/optimizer.pt
504 MB
- Xet hash:
- 855f3fdac64ffd4e42a41deb2bac226a98e05ed770fba305fec81aabab960dd9
- Size of remote file:
- 504 MB
- SHA256:
- aeac59d0ba488795712eea11af7a70eaf0f868d1b2d8175f4840dbd3b29e879d
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