Instructions to use Lakoc/fisher_dec_6_layers_params_as_additional_head with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Lakoc/fisher_dec_6_layers_params_as_additional_head with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="Lakoc/fisher_dec_6_layers_params_as_additional_head")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("Lakoc/fisher_dec_6_layers_params_as_additional_head") model = AutoModel.from_pretrained("Lakoc/fisher_dec_6_layers_params_as_additional_head") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a7ad8e230b8134d27f79a0ed4987868859c4fa1058a8d958984e89550d8b0e91
- Size of remote file:
- 105 MB
- SHA256:
- a68b0f2127242633265f9d876725400b9ca90188e12d0a65f144bbe34f5492b6
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