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:
# pip install -U transformers accelerate # 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/training_args.bin from lostinjamal/fa49a31a-5d0b-474c-9a6a-6b8d97fbd0f6: direct link, hf CLI and curl.
- Browser
- Download file 7.06 kB
-
https://huggingface.co/lostinjamal/fa49a31a-5d0b-474c-9a6a-6b8d97fbd0f6/resolve/main/last-checkpoint/training_args.bin
- Command line
-
hf download hf://lostinjamal/fa49a31a-5d0b-474c-9a6a-6b8d97fbd0f6/last-checkpoint/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/lostinjamal/fa49a31a-5d0b-474c-9a6a-6b8d97fbd0f6/resolve/main/last-checkpoint/training_args.bin
7.06 kB
- Xet hash:
- 37174c7075fe454ebbc39615858e9b021aa4f9779e171c14cd56841c0359784d
- Size of remote file:
- 7.06 kB
- SHA256:
- 0f3f4e0d33d69fce858e66ff349a882ab144ce2de7218d1c130d0b226f495493
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