Instructions to use pharaouk/cotA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pharaouk/cotA with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("pharaouk/cotA", device_map="auto") - Notebooks
- Google Colab
- Kaggle
# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("pharaouk/cotA", device_map="auto")Quick Links
Configuration Parsing Warning:Config file config.json cannot be fetched (too big)
Configuration Parsing Warning:Config file tokenizer_config.json cannot be fetched (too big)
YAML Metadata Warning:empty or missing yaml metadata in repo card
Check out the documentation for more information.
version https://git-lfs.github.com/spec/v1 oid sha256:5c006405848b810da153e6b0bfe6b4a461130b06fcaac4b57819f84f4fb16b1f size 2439
- Downloads last month
- -
Inference Providers NEW
This model isn't deployed by any Inference Provider. 🙋 Ask for provider support
# Gated model: Login with a HF token with gated access permission hf auth login