Instructions to use PaulLerner/context_eca_l6_wit_mict with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use PaulLerner/context_eca_l6_wit_mict with Transformers:
# Load model directly from transformers import AutoTokenizer, ECAEncoder tokenizer = AutoTokenizer.from_pretrained("PaulLerner/context_eca_l6_wit_mict") model = ECAEncoder.from_pretrained("PaulLerner/context_eca_l6_wit_mict", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7df3f489fbc012a65fb0f5e06ee92f7dfc74cc41d2587e78aac4f1899a793361
- Size of remote file:
- 439 MB
- SHA256:
- 53faf4f8e1f928ba0fe0fae6e0fa6df92ba8fb5de1d735294a2e8ddfe9a7e03f
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