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:
# 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-152638/training_args.bin from CLMBR/old-full-lstm-0: direct link, hf CLI and curl.
- Browser
- Download file 4.22 kB
-
https://huggingface.co/CLMBR/old-full-lstm-0/resolve/78dc261537b4128cd3da38b9e0d2e6c158bfada8/checkpoint-152638/training_args.bin
- Command line
-
hf download hf://CLMBR/old-full-lstm-0@78dc261537b4128cd3da38b9e0d2e6c158bfada8/checkpoint-152638/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/CLMBR/old-full-lstm-0/resolve/78dc261537b4128cd3da38b9e0d2e6c158bfada8/checkpoint-152638/training_args.bin
4.22 kB
- Xet hash:
- ccdd7dc80c42411b6ed15c1d535a9afa1bd1e1ff8036647f31787daeca6f1086
- Size of remote file:
- 4.22 kB
- SHA256:
- de21d77785833bed0baca07051894fe030471d9f9589bb051bc781f6914904b8
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