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:
- 2b33f421941ea8c100da0c365275b17263d8ad3878bf4589551df7b103ab832e
- Size of remote file:
- 14.7 GB
- SHA256:
- eec6dccb9832235050686e7397ddb835f390716985a4ba9eba11c78ff4609f55
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