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:
- 7446e47a6eab684aaf514c808ab28c2e685ad7e659c0857f1b53e4122f267fbe
- Size of remote file:
- 8.88 GB
- SHA256:
- 8a37bfddef9c1dc30d4d72c5bb23aa1bf9a2a4a94823bdb92bb32cb2b6a63a79
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