Instructions to use CLMBR/old-pp-mod-subj-lstm-2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CLMBR/old-pp-mod-subj-lstm-2 with Transformers:
# Load model directly from transformers import RNNForLanguageModeling model = RNNForLanguageModeling.from_pretrained("CLMBR/old-pp-mod-subj-lstm-2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download checkpoint-381595/training_args.bin from CLMBR/old-pp-mod-subj-lstm-2: direct link, hf CLI and curl.
- Browser
- Download file 4.22 kB
-
https://huggingface.co/CLMBR/old-pp-mod-subj-lstm-2/resolve/396069d1275f50bf9491e38209bc2cb1e01338bf/checkpoint-381595/training_args.bin
- Command line
-
hf download hf://CLMBR/old-pp-mod-subj-lstm-2@396069d1275f50bf9491e38209bc2cb1e01338bf/checkpoint-381595/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/CLMBR/old-pp-mod-subj-lstm-2/resolve/396069d1275f50bf9491e38209bc2cb1e01338bf/checkpoint-381595/training_args.bin
4.22 kB
- Xet hash:
- 4d22cfb584f0ee8b27c4740a50214de9a217f3003bf80dca8f6f24445b790826
- Size of remote file:
- 4.22 kB
- SHA256:
- 69e9373ee100bcb876e5b7d4133cfcef13890b4e386d404a02f2308803634842
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