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:
- 422ed39117da562a2f591826b1ccdbd736ad02f77c43f6d3f505b26e9394b9c5
- Size of remote file:
- 7.27 GB
- SHA256:
- e1a4eb569b103ab17d71f58eeabe0f9d490d2e4ac8966dd540b18b5481b91faa
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