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-686871/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/553477d8da2482b2eeab3e2440014286ed206881/checkpoint-686871/training_args.bin
- Command line
-
hf download hf://CLMBR/old-full-lstm-0@553477d8da2482b2eeab3e2440014286ed206881/checkpoint-686871/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/CLMBR/old-full-lstm-0/resolve/553477d8da2482b2eeab3e2440014286ed206881/checkpoint-686871/training_args.bin
4.22 kB
- Xet hash:
- 783602d322f345d5d4be379c142eacb4112fbb330adb6039a5d045aecc7e9f08
- Size of remote file:
- 4.22 kB
- SHA256:
- ed32a7443d48c40c238c25dbd6b4192bcc45ec37a8409de418b0081479aafff8
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