Instructions to use AdrSkapars/reverse-model-lora-tinystories with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AdrSkapars/reverse-model-lora-tinystories with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("AdrSkapars/reverse-model-lora-tinystories", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.model from AdrSkapars/reverse-model-lora-tinystories: direct link, hf CLI and curl.
- Browser
- Download file 1 MB
-
https://huggingface.co/AdrSkapars/reverse-model-lora-tinystories/resolve/main/tokenizer.model
- Command line
-
hf download hf://AdrSkapars/reverse-model-lora-tinystories/tokenizer.model
-
curl -L -o tokenizer.model https://huggingface.co/AdrSkapars/reverse-model-lora-tinystories/resolve/main/tokenizer.model
1 MB
- Xet hash:
- e3ff3a3ad390294bd6284c0db5b7670660470dc32dd188d9e50a09d31d51af8d
- Size of remote file:
- 1 MB
- SHA256:
- f6a2447b0e5664cabb2481587597102d82f42f0ccb7ef22e1c2d95494a8b03c5
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