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:
- 3aa1c1efc2c55c137d0a9e4aff8f63df1b653169318a7977d06a82f9671efd8f
- Size of remote file:
- 10.6 GB
- SHA256:
- dcf5054951605dfee65396ef3c625c09539c5f605256989bf9e605e9727a00d8
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