Instructions to use CLMBR/full-lstm-4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CLMBR/full-lstm-4 with Transformers:
# Load model directly from transformers import RNNForLanguageModeling model = RNNForLanguageModeling.from_pretrained("CLMBR/full-lstm-4", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download checkpoint-610560/training_args.bin from CLMBR/full-lstm-4: direct link, hf CLI and curl.
- Browser
- Download file 4.22 kB
-
https://huggingface.co/CLMBR/full-lstm-4/resolve/3bc9ffc7aeaa8397e25d24ef8bca9d6ed5d61014/checkpoint-610560/training_args.bin
- Command line
-
hf download hf://CLMBR/full-lstm-4@3bc9ffc7aeaa8397e25d24ef8bca9d6ed5d61014/checkpoint-610560/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/CLMBR/full-lstm-4/resolve/3bc9ffc7aeaa8397e25d24ef8bca9d6ed5d61014/checkpoint-610560/training_args.bin
4.22 kB
- Xet hash:
- 1dcc4686ea8b370d2e4d0af4ffb0cedff40b259b4ffa869c93e00c912a00ba96
- Size of remote file:
- 4.22 kB
- SHA256:
- 005b90b165a60ed8cce9d3bacecf34956c5db82c002a150eff6af81af43bd21f
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