Instructions to use Lakoc/fisher_dec_7_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_7_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_7_layers_params_as_additional_head")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("Lakoc/fisher_dec_7_layers_params_as_additional_head") model = AutoModel.from_pretrained("Lakoc/fisher_dec_7_layers_params_as_additional_head") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- adf90eec7f9e6927c640c490ffc90da19caf74b2e4436e02096266a7d6c05246
- Size of remote file:
- 108 MB
- SHA256:
- 2a273c3390376bea611034a812e79f96e382cb561e27e5d67c33e13de635a8ff
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