Instructions to use Malekhmem/mayssa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Malekhmem/mayssa with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Malekhmem/mayssa", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from Malekhmem/mayssa: direct link, hf CLI and curl.
- Browser
- Download file 17.5 MB
-
https://huggingface.co/Malekhmem/mayssa/resolve/main/tokenizer.json
- Command line
-
hf download hf://Malekhmem/mayssa/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/Malekhmem/mayssa/resolve/main/tokenizer.json
17.5 MB
- Xet hash:
- 5ad38d31398e486ba6fb0b2406bbee22152ce816d34dab62e17229b9d7e932a6
- Size of remote file:
- 17.5 MB
- SHA256:
- 62aac1caf8a9d4c3f0bbcea6f3b568dc4c31697217cfb0a518a27db2e4da992a
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