Instructions to use CLMBR/old-full-lstm-2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CLMBR/old-full-lstm-2 with Transformers:
# Load model directly from transformers import RNNForLanguageModeling model = RNNForLanguageModeling.from_pretrained("CLMBR/old-full-lstm-2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download checkpoint-1450067/pytorch_model.bin from CLMBR/old-full-lstm-2: direct link, hf CLI and curl.
- Browser
- Download file 272 MB
-
https://huggingface.co/CLMBR/old-full-lstm-2/resolve/main/checkpoint-1450067/pytorch_model.bin
- Command line
-
hf download hf://CLMBR/old-full-lstm-2/checkpoint-1450067/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/CLMBR/old-full-lstm-2/resolve/main/checkpoint-1450067/pytorch_model.bin
272 MB
- Xet hash:
- 8ef5bf3b27d425dfa5f2ce9ff1105246379ab5182385fc0c53c68a448f5cf798
- Size of remote file:
- 272 MB
- SHA256:
- 4e58c7b55c4a4a302e7071b6d1acd564714975054c1b17e2d93d8ffe736faec2
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