Instructions to use CLMBR/old-full-lstm-0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CLMBR/old-full-lstm-0 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import RNNForLanguageModeling model = RNNForLanguageModeling.from_pretrained("CLMBR/old-full-lstm-0", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download checkpoint-2060628/trainer_state.json from CLMBR/old-full-lstm-0: direct link, hf CLI and curl.
- Browser
- Download file 503 kB
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https://huggingface.co/CLMBR/old-full-lstm-0/resolve/817442b22d6d5de4c1a80dc9716828ee079e0fd3/checkpoint-2060628/trainer_state.json
- Command line
-
hf download hf://CLMBR/old-full-lstm-0@817442b22d6d5de4c1a80dc9716828ee079e0fd3/checkpoint-2060628/trainer_state.json
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curl -L -o trainer_state.json https://huggingface.co/CLMBR/old-full-lstm-0/resolve/817442b22d6d5de4c1a80dc9716828ee079e0fd3/checkpoint-2060628/trainer_state.json
503 kB
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