Instructions to use mlnotes/ecnet_seed_42 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mlnotes/ecnet_seed_42 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="mlnotes/ecnet_seed_42")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("mlnotes/ecnet_seed_42") model = AutoModel.from_pretrained("mlnotes/ecnet_seed_42") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fd0d96be495c344b3c85b13fd95097992d2d10633faec7fb82c78cb20a36f281
- Size of remote file:
- 368 MB
- SHA256:
- 45a09d8ae71248956c7a97cb02268af3dd30e4290ed2c84bc7b85474491e6503
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