Instructions to use CLMBR/binding-c-command-lstm-2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CLMBR/binding-c-command-lstm-2 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import RNNForLanguageModeling model = RNNForLanguageModeling.from_pretrained("CLMBR/binding-c-command-lstm-2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download checkpoint-2671200/scheduler.pt from CLMBR/binding-c-command-lstm-2: direct link, hf CLI and curl.
- Browser
- Download file 627 Bytes
-
https://huggingface.co/CLMBR/binding-c-command-lstm-2/resolve/main/checkpoint-2671200/scheduler.pt
- Command line
-
hf download hf://CLMBR/binding-c-command-lstm-2/checkpoint-2671200/scheduler.pt
-
curl -L -o scheduler.pt https://huggingface.co/CLMBR/binding-c-command-lstm-2/resolve/main/checkpoint-2671200/scheduler.pt
627 Bytes
- Xet hash:
- 4238de93fca8d5b92a2a79868fe71de62b39409bfb4b6c45f3a45281109ca209
- Size of remote file:
- 627 Bytes
- SHA256:
- e49650b2f398a9fb25fc3f14a7cdb27637e86c490da84a1da1c3e3abea24057a
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