Instructions to use CLMBR/old-existential-there-quantifier-lstm-2 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-2 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import RNNForLanguageModeling model = RNNForLanguageModeling.from_pretrained("CLMBR/old-existential-there-quantifier-lstm-2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from CLMBR/old-existential-there-quantifier-lstm-2: direct link, hf CLI and curl.
- Browser
- Download file 272 MB
-
https://huggingface.co/CLMBR/old-existential-there-quantifier-lstm-2/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://CLMBR/old-existential-there-quantifier-lstm-2/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/CLMBR/old-existential-there-quantifier-lstm-2/resolve/main/pytorch_model.bin
272 MB
- Xet hash:
- 5e0c478c3b1803b040c99cc112c98cf3ad614a4b4ba4de5ce543654b058430d6
- Size of remote file:
- 272 MB
- SHA256:
- f7303d4240c9452c9b4ef16c624fcdae1a8da5636a4ef886c22ba7cac676c459
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