Instructions to use CLMBR/pp-mod-subj-lstm-1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CLMBR/pp-mod-subj-lstm-1 with Transformers:
# Load model directly from transformers import RNNForLanguageModeling model = RNNForLanguageModeling.from_pretrained("CLMBR/pp-mod-subj-lstm-1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download checkpoint-1755360/training_args.bin from CLMBR/pp-mod-subj-lstm-1: direct link, hf CLI and curl.
- Browser
- Download file 4.22 kB
-
https://huggingface.co/CLMBR/pp-mod-subj-lstm-1/resolve/d3b0342978408a0732e5476147061195f73c33f0/checkpoint-1755360/training_args.bin
- Command line
-
hf download hf://CLMBR/pp-mod-subj-lstm-1@d3b0342978408a0732e5476147061195f73c33f0/checkpoint-1755360/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/CLMBR/pp-mod-subj-lstm-1/resolve/d3b0342978408a0732e5476147061195f73c33f0/checkpoint-1755360/training_args.bin
4.22 kB
- Xet hash:
- 8af75e516625698756a98836dbc303addbe51dc99c9d3b054037d909b401fb0a
- Size of remote file:
- 4.22 kB
- SHA256:
- e57ea57ae6864e0648fa3b0a2f21d0603a10e5de7e898e1373bea5dc4e684b99
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