Instructions to use CLMBR/existential-there-quantifier-lstm-0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CLMBR/existential-there-quantifier-lstm-0 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import RNNForLanguageModeling model = RNNForLanguageModeling.from_pretrained("CLMBR/existential-there-quantifier-lstm-0", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from CLMBR/existential-there-quantifier-lstm-0: direct link, hf CLI and curl.
- Browser
- Download file 272 MB
-
https://huggingface.co/CLMBR/existential-there-quantifier-lstm-0/resolve/8f54bca8e5d3d39f752c4daaf80ad6aaa992ebc5/pytorch_model.bin
- Command line
-
hf download hf://CLMBR/existential-there-quantifier-lstm-0@8f54bca8e5d3d39f752c4daaf80ad6aaa992ebc5/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/CLMBR/existential-there-quantifier-lstm-0/resolve/8f54bca8e5d3d39f752c4daaf80ad6aaa992ebc5/pytorch_model.bin
272 MB
- Xet hash:
- 67fd0cdfe34f8c1e8a8fcc08de21043c9f8176a0c5642325781c56eab57c0e3e
- Size of remote file:
- 272 MB
- SHA256:
- 89d979992f82fd1a4a322c464887baaa740d530df82965772814fb4f90f9bb1f
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