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/tokenizer.json from lostinjamal/fa49a31a-5d0b-474c-9a6a-6b8d97fbd0f6: direct link, hf CLI and curl.
- Browser
- Download file 17.2 MB
-
https://huggingface.co/lostinjamal/fa49a31a-5d0b-474c-9a6a-6b8d97fbd0f6/resolve/main/last-checkpoint/tokenizer.json
- Command line
-
hf download hf://lostinjamal/fa49a31a-5d0b-474c-9a6a-6b8d97fbd0f6/last-checkpoint/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/lostinjamal/fa49a31a-5d0b-474c-9a6a-6b8d97fbd0f6/resolve/main/last-checkpoint/tokenizer.json
17.2 MB
- Xet hash:
- 224f716f61ba215cd8d18541622e692d5ff78d47f3e33ffdc4ecf2b6cf7514cb
- Size of remote file:
- 17.2 MB
- SHA256:
- ea58ecac1b246e01df1ab28149301a8dba68e9116784baaeb714f660cc54540a
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