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:
- fbd7afb699f2e95b26a394e454b8022c224b22fdf6063a19414aac203b3abaf5
- Size of remote file:
- 4.24 GB
- SHA256:
- e5b33b0fe80bc6abb65e20c733bda0f7406674c300871bbd7622330fa54f8ab3
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