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:
- 1d0f669704c138f268e641f89e7228bc3c944e71a455279bf96c6d35e43ba78e
- Size of remote file:
- 7.27 GB
- SHA256:
- 1dc5ef8e37924277083386484690c88fe06ea5a046930506a82af1c62775cc87
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.