Instructions to use CLMBR/old-existential-there-quantifier-lstm-4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CLMBR/old-existential-there-quantifier-lstm-4 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import RNNForLanguageModeling model = RNNForLanguageModeling.from_pretrained("CLMBR/old-existential-there-quantifier-lstm-4", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download checkpoint-457920/rng_state.pth from CLMBR/old-existential-there-quantifier-lstm-4: direct link, hf CLI and curl.
- Browser
- Download file 14.6 kB
-
https://huggingface.co/CLMBR/old-existential-there-quantifier-lstm-4/resolve/main/checkpoint-457920/rng_state.pth
- Command line
-
hf download hf://CLMBR/old-existential-there-quantifier-lstm-4/checkpoint-457920/rng_state.pth
-
curl -L -o rng_state.pth https://huggingface.co/CLMBR/old-existential-there-quantifier-lstm-4/resolve/main/checkpoint-457920/rng_state.pth
14.6 kB
- Xet hash:
- d43cff311730282db79b0b4e2e79cde82cf2abd4834398108a5c5757c033c3e5
- Size of remote file:
- 14.6 kB
- SHA256:
- 8dbc43225efde3c0e41f3fb5a5d5ece0d6f956d20360979cd655f8cd4bfd7b0d
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