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:
- 4b7362515f95b0f584976842278796b4293870b312708e501c0d4e405118d285
- Size of remote file:
- 8.88 GB
- SHA256:
- a460be8f46ae72d4c8df1baaee91a9525ed3ad6f6501e0be16905cfc7e54c7d2
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