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:
- 0341efa2b073779f449da99c81a374f649bf3f2c4bad4ca24b394a975b792217
- Size of remote file:
- 9.69 GB
- SHA256:
- bf4c23911f71b862fd20f4179952aa0d7a7c5e82ae9bdd6dbf3ef210b4de2de3
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