Instructions to use CohereLabs/aya-101 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CohereLabs/aya-101 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("CohereLabs/aya-101") model = AutoModelForSeq2SeqLM.from_pretrained("CohereLabs/aya-101", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- eb9d8f21a48d6c5d264a97b4f5d63a4639f43bb530831b8dcdf7d6bac9e32686
- Size of remote file:
- 4.94 GB
- SHA256:
- eaac4cc53b7c0738864e726f7976dd2cbff6d167b6cd4e72e15606461604b116
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.