Instructions to use kcoopermiller/aya-101-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kcoopermiller/aya-101-GGUF with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("kcoopermiller/aya-101-GGUF") model = AutoModelForSeq2SeqLM.from_pretrained("kcoopermiller/aya-101-GGUF", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b15c26e2e43025c3bea26eed7af33fdf1056e399673bfbdf9d9345658c095ab8
- Size of remote file:
- 5.55 GB
- SHA256:
- 29a24993b0d98aee28139c6f82ba9694620449ecaa3c4fa8a56982ced3f78345
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