Instructions to use Lakoc/fisher_dec_6_layers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Lakoc/fisher_dec_6_layers with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="Lakoc/fisher_dec_6_layers")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("Lakoc/fisher_dec_6_layers") model = AutoModel.from_pretrained("Lakoc/fisher_dec_6_layers") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 135b6c5a1da73b75d31fe08c9d06ca60095dd7630a92ca8b2506cde02e9742ea
- Size of remote file:
- 94.3 MB
- SHA256:
- 00cbd284ac00edd31a4ffe355c9c36a79f04c4e5a7948a3630ddace722a60377
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