Instructions to use zaanind/aya-101 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use zaanind/aya-101 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("zaanind/aya-101") model = AutoModelForSeq2SeqLM.from_pretrained("zaanind/aya-101", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from zaanind/aya-101: direct link, hf CLI and curl.
- Browser
- Download file 16.3 MB
-
https://huggingface.co/zaanind/aya-101/resolve/main/tokenizer.json
- Command line
-
hf download hf://zaanind/aya-101/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/zaanind/aya-101/resolve/main/tokenizer.json
16.3 MB
- Xet hash:
- 76872f0379597a6508d3deb27bf5e89495af54b859f2d8067c582f676bc7b687
- Size of remote file:
- 16.3 MB
- SHA256:
- c4d5a37a3961ad372c25cf3986d3f11bc88496a8f78ce1397593d0611d48ba60
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