Instructions to use CLMBR/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/existential-there-quantifier-lstm-4 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import RNNForLanguageModeling model = RNNForLanguageModeling.from_pretrained("CLMBR/existential-there-quantifier-lstm-4", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from CLMBR/existential-there-quantifier-lstm-4: direct link, hf CLI and curl.
- Browser
- Download file 272 MB
-
https://huggingface.co/CLMBR/existential-there-quantifier-lstm-4/resolve/aea14ad1680f419c613dc84292f8bc54ae950577/pytorch_model.bin
- Command line
-
hf download hf://CLMBR/existential-there-quantifier-lstm-4@aea14ad1680f419c613dc84292f8bc54ae950577/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/CLMBR/existential-there-quantifier-lstm-4/resolve/aea14ad1680f419c613dc84292f8bc54ae950577/pytorch_model.bin
272 MB
- Xet hash:
- c56be21cf8f97bcbab729b3442ab9caf2cc75c47640811a26ee393f6624b44b3
- Size of remote file:
- 272 MB
- SHA256:
- 6a626e6c622a9d0d9c2ef37cbe29bb25bb168005633a4b99400ac2091f7c50d5
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