Instructions to use blevlabs/ml_ferret_13b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use blevlabs/ml_ferret_13b with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("blevlabs/ml_ferret_13b", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from blevlabs/ml_ferret_13b: direct link, hf CLI and curl.
- Browser
- Download file 1.84 MB
-
https://huggingface.co/blevlabs/ml_ferret_13b/resolve/main/tokenizer.json
- Command line
-
hf download hf://blevlabs/ml_ferret_13b/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/blevlabs/ml_ferret_13b/resolve/main/tokenizer.json
1.84 MB
- Xet hash:
- aaff75ed6fbe578e7b6ee0c7d7484b0941ee4ae1d3a8f12e9992e974faf9fb1a
- Size of remote file:
- 1.84 MB
- SHA256:
- 0bb57c62c00e99d1568b46bf6ec178c63217f1aff98065ad318aabdee1885a29
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