Instructions to use flock-io/Flock_Web3_Agent_Model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use flock-io/Flock_Web3_Agent_Model with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("flock-io/Flock_Web3_Agent_Model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 39c126c6caadd19b17d25fc0938fe2cda0f48ed3b0d3863dc2f2677e2874cbc1
- Size of remote file:
- 7.36 kB
- SHA256:
- 056f2c058091cdc7af49f6dc7cc43e0440f1b7d2a76d95d1daea085db11db491
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.