Instructions to use PavanMV/sft_output with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use PavanMV/sft_output with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("PavanMV/sft_output", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download added_tokens.json from PavanMV/sft_output: direct link, hf CLI and curl.
- Browser
- Download file 92 Bytes
-
https://huggingface.co/PavanMV/sft_output/resolve/main/added_tokens.json
- Command line
-
hf download hf://PavanMV/sft_output/added_tokens.json
-
curl -L -o added_tokens.json https://huggingface.co/PavanMV/sft_output/resolve/main/added_tokens.json
92 Bytes
| { | |
| "<end_of_utterance>": 49154, | |
| "<fake_token_around_image>": 49152, | |
| "<image>": 49153 | |
| } | |