Instructions to use Daksh1/finetuningtestInstModel_Old with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Daksh1/finetuningtestInstModel_Old with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Daksh1/finetuningtestInstModel_Old", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from Daksh1/finetuningtestInstModel_Old: direct link, hf CLI and curl.
- Browser
- Download file 17.2 MB
-
https://huggingface.co/Daksh1/finetuningtestInstModel_Old/resolve/main/tokenizer.json
- Command line
-
hf download hf://Daksh1/finetuningtestInstModel_Old/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/Daksh1/finetuningtestInstModel_Old/resolve/main/tokenizer.json
17.2 MB
- Xet hash:
- 7d4d0ede626df55f726ac469271b370dd3d0664533a021760d9cf1a8dd189f1d
- Size of remote file:
- 17.2 MB
- SHA256:
- b9767d91464704f278c8531b081b5318bb8b1f837796258e4021b64d28ea3eae
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