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-1831668/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/d014a43164333c2668a3f5a175c70b19dc518afd/checkpoint-1831668/training_args.bin
- Command line
-
hf download hf://CLMBR/old-full-lstm-0@d014a43164333c2668a3f5a175c70b19dc518afd/checkpoint-1831668/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/CLMBR/old-full-lstm-0/resolve/d014a43164333c2668a3f5a175c70b19dc518afd/checkpoint-1831668/training_args.bin
4.22 kB
- Xet hash:
- eab2696649e7782d1cbc4b974f7149be3068c2ca2abc114ff9a5af532321d923
- Size of remote file:
- 4.22 kB
- SHA256:
- 1e70c4666763b8a2e774900d85bd3f71fba3501b60a88507143b53d1f587dbe0
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