Instructions to use CLMBR/existential-there-quantifier-lstm-3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CLMBR/existential-there-quantifier-lstm-3 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import RNNForLanguageModeling model = RNNForLanguageModeling.from_pretrained("CLMBR/existential-there-quantifier-lstm-3", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from CLMBR/existential-there-quantifier-lstm-3: direct link, hf CLI and curl.
- Browser
- Download file 4.28 kB
-
https://huggingface.co/CLMBR/existential-there-quantifier-lstm-3/resolve/main/training_args.bin
- Command line
-
hf download hf://CLMBR/existential-there-quantifier-lstm-3/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/CLMBR/existential-there-quantifier-lstm-3/resolve/main/training_args.bin
4.28 kB
- Xet hash:
- 98b72450a3d929988ed5bc098425fc668371192bd11e398f309cffa42f8cf4cf
- Size of remote file:
- 4.28 kB
- SHA256:
- 24cb885dfe59a9b18fafa6b6396da85672cce5e370b010af85238471bea0b362
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